Template-Type: ReDIF-Article 1.0
Author-Name: Jing Liu
Author-X-Name-First: Jing
Author-X-Name-Last: Liu
Author-Name: Yiwen Ruan
Author-X-Name-First: Yiwen
Author-X-Name-Last: Ruan
Author-Name: Jia Lin
Author-X-Name-First: Jia
Author-X-Name-Last: Lin
Title: A precision marketing method for digital product big data based on user generated content
Abstract:
In order to improve the marketing accuracy and user satisfaction of digital product big data, a precision marketing method based on user generated content for digital product big data is proposed. Firstly, vectorise the user generated evaluation text, digital product category text and image information of digital product descriptions. Secondly, convolutional fusion is performed on the text comprehensive features and image features of digital products. Finally, construct a digital product user interest model based on the level of user interest. Tag weights are used to construct a precise marketing function for digital product big data. The experimental results show that compared with existing marketing methods, this paper's method can improve the marketing accuracy of digital product big data, while also enhancing user satisfaction.
Journal: Int. J. of Product Development
Pages: 70-83
Issue: 1
Volume: 29
Year: 2025
Keywords: user generated content; digital products; big data precision marketing; user interest model.
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:1:p:70-83

Template-Type: ReDIF-Article 1.0
Author-Name: Ziya Wang
Author-X-Name-First: Ziya
Author-X-Name-Last: Wang
Author-Name: Fei Gao
Author-X-Name-First: Fei
Author-X-Name-Last: Gao
Title: Personalised push method for sports goods purchase information in the context of marketing
Abstract:
To solve the issues of low satisfaction and low unique visitor (UV) click rate in the existing personalised push methods of commodity purchase information, this paper proposes a personalised push method for sports goods purchase information in the context of marketing. By utilising crawler technology, an online shopping platform users' behaviour data set for purchasing sporting goods is established. A generalised hierarchical tree of user portrait attribute tags is constructed, and the browsing time of sporting goods containing a certain tag is calculated to allocate the membership degree of sporting goods and mine user interest preferences. The Pearson similarity algorithm is applied to construct the similarity matrix for personalised push, enabling personalised push of sporting goods purchase information. Experiments demonstrate that the user satisfaction rate using this method consistently remains above 88%. Furthermore, the highest UV click rate achieved is 7.56%, indicating a successful push effect.
Journal: Int. J. of Product Development
Pages: 1-16
Issue: 1
Volume: 29
Year: 2025
Keywords: sports goods; user portrait; generalised hierarchical tree; membership degree; Pearson similarity.
File-URL: http://www.inderscience.com/link.php?id=144848
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:1:p:1-16

Template-Type: ReDIF-Article 1.0
Author-Name: Jin Yan
Author-X-Name-First: Jin
Author-X-Name-Last: Yan
Title: Research on image detail enhancement of cultural and creative product packaging design based on improved guided filtering
Abstract:
In order to avoid image distortion caused by excessive processing during image detail enhancement, an image detail enhancement method for cultural and creative product packaging design based on improved guided filtering was proposed. Obtain the packaging design image of cultural and creative products, use the improved non-local mean filtering algorithm to denoise the image, and repair the bad points in the image to protect important details. The multi-scale guidance filter is introduced to improve the guidance filter, and the multi-scale guidance filter is used to enhance the details of the modified image. The experimental results show that the minimum peak signal-to-noise ratio of the image enhanced by this method can reach 53.2 db, with the entropy value 0.94 and the minimum average contrast of the image can reach 0.85, indicating that the image processed by this method has high quality and high detail retention rate.
Journal: Int. J. of Product Development
Pages: 17-34
Issue: 1
Volume: 29
Year: 2025
Keywords: cultural and creative product packaging; design image; detail enhancement; improved guided filtering; lifting wavelet.
File-URL: http://www.inderscience.com/link.php?id=144849
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:1:p:17-34

Template-Type: ReDIF-Article 1.0
Author-Name: Ming Yang
Author-X-Name-First: Ming
Author-X-Name-Last: Yang
Title: Fuzzy comprehensive evaluation of product marketing management performance under the background of data driven
Abstract:
In order to overcome the problems of low weight and score values, large fluctuations in indicator membership, and low credibility in traditional methods, this paper designs a new fuzzy comprehensive evaluation method for product marketing management performance under the background of data driven. First, determine financial performance indicators, innovation performance indicators, and market competition performance indicators. Utilise data driven technology to mine and clean performance indicators for product marketing management, combined with dimensionless evaluation indicators and consistency calculation to complete indicator data pre-processing. Build a fuzzy comprehensive evaluation model for product marketing management performance, input pre-processed indicator data into the model and obtain evaluation results. The test results show that the weight and score values of this method are high, the fluctuation of the membership degree of the evaluation index is low and the credibility of the comment results is high.
Journal: Int. J. of Product Development
Pages: 35-52
Issue: 1
Volume: 29
Year: 2025
Keywords: data driven; product marketing; management performance; fuzzy comprehensive evaluation; dimensionless; data driven technology.
File-URL: http://www.inderscience.com/link.php?id=144850
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:1:p:35-52

Template-Type: ReDIF-Article 1.0
Author-Name: Shuqing Wu
Author-X-Name-First: Shuqing
Author-X-Name-Last: Wu
Title: Speech recognition interaction control method for smart home based on natural language processing
Abstract:
In order to solve the problems of high-speech recognition error rate, low-success rate and high latency in traditional methods, a new speech recognition interaction control method for smart home based on natural language processing is proposed. A first-order FIR high-pass digital filter is used to pre-emphasise the smart home voice, and signal framing is achieved by adding a Hamming window and smart home voice signal enhancement is achieved by combining a linear filter. An improved DTW algorithm is used to recognise the smart home voice. Based on the smart home voice recognition result and natural language processing technology, interactive control instructions are determined and input into a fuzzy self-tuning PID controller to achieve smart home voice recognition and control. Experimental results show that the mean recognition error rate of this method is 5.36%, the mean success rate is 97.52% and the delay is below 0.6 s.
Journal: Int. J. of Product Development
Pages: 53-69
Issue: 1
Volume: 29
Year: 2025
Keywords: natural language processing; smart home; speech recognition; interactive control; linear filter; improved DTW algorithm.
File-URL: http://www.inderscience.com/link.php?id=144851
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:1:p:53-69

Template-Type: ReDIF-Article 1.0
Author-Name: Ting Zhang
Author-X-Name-First: Ting
Author-X-Name-Last: Zhang
Author-Name: Rui-Zhi Liu
Author-X-Name-First: Rui-Zhi
Author-X-Name-Last: Liu
Author-Name: Wei Li
Author-X-Name-First: Wei
Author-X-Name-Last: Li
Title: A biomimetic feature extraction method for product packaging colour based on flower pollination algorithm
Abstract:
In order to improve the accuracy and recall of product packaging colour bionic feature extraction, this paper proposes a product packaging colour bionic feature extraction method based on flower pollination algorithm. Firstly, smooth the product packaging image, extract super-pixel blocks from the image, and complete intelligent image segmentation. Then, using the flower pollination algorithm to simulate self-pollination, the conversion probability is introduced to conduct a global search for colour biomimetic features and determine the colour biomimetic features. Finally, using the sigmoid function, the determined colour biomimetic features are discretised and extracted. If the feature value is 0, the feature is not extracted, and if the value is 1, the feature is extracted to complete the colour biomimetic feature extraction. The results show that the extraction accuracy of the method in this paper can reach 99.25%, the extraction recall rate can reach 96.2% and the product packaging colour biomimetic feature effect is good.
Journal: Int. J. of Product Development
Pages: 84-99
Issue: 1
Volume: 29
Year: 2025
Keywords: flower pollination algorithm; colour biomimetic feature extraction; sigmoid function; product packaging; swarm intelligence optimisation algorithm.
File-URL: http://www.inderscience.com/link.php?id=144852
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:1:p:84-99

Template-Type: ReDIF-Article 1.0
Author-Name: Hua Song
Author-X-Name-First: Hua
Author-X-Name-Last: Song
Title: Error detection of industrial design product appearance dimensional based on machine vision
Abstract:
Aiming at the problems existing in current methods, such as high false detection rate, low signal-to-noise ratio of image edges and high cost of sub-pixel matching, an error detection method of industrial design product appearance dimension based on machine vision is proposed. The fuzzy algorithm is used to extract the edge of industrial design product appearance image, and the sub-pixel point matching is carried out after determining the amplitude change of sub-pixel points in the edge image. According to the pixel coordinates and image parallax of the appearance image, the standard threshold of the appearance image dimensional of industrial design products is set, and the appearance dimensional image to be detected is compared with the standard threshold of the image dimensional to realise error detection. Test results show that the proposed method has low false detection rate, high signal-to-noise ratio of image edge and low cost of sub-pixel point matching.
Journal: Int. J. of Product Development
Pages: 100-119
Issue: 1
Volume: 29
Year: 2025
Keywords: machine vision; industrial design products; appearance dimensional; error detection; amplitude; sub-pixel point matching.
File-URL: http://www.inderscience.com/link.php?id=144853
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:1:p:100-119

Template-Type: ReDIF-Article 1.0
Author-Name: Balasaheb Shinde
Author-X-Name-First: Balasaheb
Author-X-Name-Last: Shinde
Author-Name: Sudarshan Sanap
Author-X-Name-First: Sudarshan
Author-X-Name-Last: Sanap
Author-Name: Sachin Pawar
Author-X-Name-First: Sachin
Author-X-Name-Last: Pawar
Author-Name: Vishnu Wakchaure
Author-X-Name-First: Vishnu
Author-X-Name-Last: Wakchaure
Title: Review of critical success factors and frameworks of new product development process
Abstract:
Manufacturing companies emphasise New Product Development (NPD) to remain competitive amid technological advancements and global competition. NPD is complex and influenced by technical, marketing, organisational, commercial and social factors that converge to decide success or failure. Researchers have identified the Critical Success Factors (CSFs) and developed various NPD frameworks to address specific needs. CSFs collaboratively mould and reshape the framework for NPD. Thus, it is vital to find the comprehensive set of CSFs and their relationship with the NPD framework. This research conducts a literature review to identify CSFs. The key features of different NPD frameworks are outlined, emphasising the paradigm shift brought about by recent technological advancements. Further, identified CSFs are mapped with the stages of the NPD framework to help integrate, prioritise and leverage the CSFs to enhance the likelihood of achieving NPD goals. The highlighted research opportunities may be pursued to develop the improved framework in a dynamic environment.
Journal: Int. J. of Product Development
Pages: 121-167
Issue: 2
Volume: 29
Year: 2025
Keywords: CSFs; critical success factors; NPD; new product development; new product development framework.
File-URL: http://www.inderscience.com/link.php?id=148391
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:2:p:121-167

Template-Type: ReDIF-Article 1.0
Author-Name: José Carlos De Toledo
Author-X-Name-First: José Carlos De
Author-X-Name-Last: Toledo
Author-Name: Marcela Avelina Bataghin Costa
Author-X-Name-First: Marcela Avelina Bataghin
Author-X-Name-Last: Costa
Author-Name: Camila Fabricio Poltronieri
Author-X-Name-First: Camila Fabricio
Author-X-Name-Last: Poltronieri
Author-Name: Sanderson César Macêdo Barbalho
Author-X-Name-First: Sanderson César Macêdo
Author-X-Name-Last: Barbalho
Author-Name: Mario Orestes Aguirre González
Author-X-Name-First: Mario Orestes Aguirre
Author-X-Name-Last: González
Title: Pre-development of new products: case studies on practices, tools, and framework
Abstract:
With the uncertainties of the market and technological innovation, the complexity becomes greater in the initial phases of product development. Through case studies, this work makes a comparative analysis between the theory and practice of the pre-development of new products in a sample of large Brazilian companies, in addition to providing a framework that helps in this process. Each company adopts its own model for planning and conducting pre-development activities, which differs from theoretical models. Some activities are common among the models in the literature and the companies surveyed. Some tools adopted to operationalise activities are common in all companies studied, such as benchmarking, brainstorming and market research. The proposed framework considers aspects such as type of market, company size, degree of product innovation and structuring of the product development process to define activities and support techniques for pre-development in each case.
Journal: Int. J. of Product Development
Pages: 168-195
Issue: 2
Volume: 29
Year: 2025
Keywords: product pre-development; front-end of innovation; fuzzy front-end; pre-development management; framework.
File-URL: http://www.inderscience.com/link.php?id=148392
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Template-Type: ReDIF-Article 1.0
Author-Name: Ying-Kai Liao
Author-X-Name-First: Ying-Kai
Author-X-Name-Last: Liao
Author-Name: Thi-Yen Do
Author-X-Name-First: Thi-Yen
Author-X-Name-Last: Do
Author-Name: Gehkor Tang
Author-X-Name-First: Gehkor
Author-X-Name-Last: Tang
Author-Name: Minh-Quan Vu
Author-X-Name-First: Minh-Quan
Author-X-Name-Last: Vu
Title: Entrepreneurship, innovation and new product development: the moderating effect of risk taking and social competition
Abstract:
This study investigates the influence of the entrepreneurial mindset and innovation capability on New Product Development (NPD). It also evaluates the moderating roles of risk taking and social competition. A total of 290 responses were collected through a questionnaire survey. The findings suggest that an entrepreneurial mindset has a significant influence on innovation capability. Moreover, the entrepreneurial mindset and innovation capability have a significant influence on NPD. Both risk taking and social competition play a significant role in increasing the influence of the entrepreneurial mindset and innovation capability on NPD. The results of this study may help academic professionals to develop entrepreneurial leadership in the context of NPD.
Journal: Int. J. of Product Development
Pages: 196-215
Issue: 2
Volume: 29
Year: 2025
Keywords: entrepreneurial mindset; innovation capability; new product development; risk taking; social competition.
File-URL: http://www.inderscience.com/link.php?id=148393
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:2:p:196-215

Template-Type: ReDIF-Article 1.0
Author-Name: Stefanie Hain
Author-X-Name-First: Stefanie
Author-X-Name-Last: Hain
Author-Name: Theresa Wöllner
Author-X-Name-First: Theresa
Author-X-Name-Last: Wöllner
Author-Name: Peter M. Bican
Author-X-Name-First: Peter M.
Author-X-Name-Last: Bican
Title: Digital strategies for fostering workplace creativity
Abstract:
This study explores how digital tools enhance creativity in large organisations, addressing a growing need to understand creative work in increasingly digital and hybrid environments. Drawing on qualitative interviews with employees in creativity-related roles, the research examines how creativity support systems - such as online whiteboards, communication platforms and idea management tools - shape the creative process across individual, group and organisational levels. The findings highlight that digital tools are especially effective during the preparation and idea generation phases, fostering flexible, collaborative and idea-rich environments. However, challenges including user resistance, digital skill gaps and workflow integration issues persist. By mapping digital tool usage to distinct phases of the creative process, this study offers practical and theoretical insights for organisations aiming to implement or refine digital strategies to support creativity. The results contribute to the literature by extending creativity support system research into real-world corporate settings.
Journal: Int. J. of Product Development
Pages: 216-246
Issue: 2
Volume: 29
Year: 2025
Keywords: creativity; creativity support systems; workplace creativity; digital work; digitalisation.
File-URL: http://www.inderscience.com/link.php?id=148401
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:2:p:216-246

Template-Type: ReDIF-Article 1.0
Author-Name: Lian Xue
Author-X-Name-First: Lian
Author-X-Name-Last: Xue
Author-Name: Chengsong Hu
Author-X-Name-First: Chengsong
Author-X-Name-Last: Hu
Title: Smart product's human-computer interaction voice recognition method based on a novel feedforward network learning algorithm
Abstract:
To avoid the impact of noise factors in speech recognition and improve the effectiveness of speech recognition, this paper proposes an intelligent product human-computer interaction speech recognition method based on a novel feedforward network learning algorithm. According to the dependent variable transformation relationship of nonlinear functions, a feedforward neural network speech recognition model is constructed. This model utilises the dependent variable transformation mechanism of nonlinear functions to more flexibly simulate the complex mapping relationship between speech signals and recognition results. A semi-supervised loss function is introduced into the model training, and stochastic gradient descent is used for iterative optimisation to achieve human-computer interaction speech recognition. Experiments have proven that the speech recognition accuracy of the method in this paper remains above 90%, and the speech recognition delay remains below 1 second, indicating good recognition performance, reliability, and application performance.
Journal: Int. J. of Product Development
Pages: 247-260
Issue: 3/4
Volume: 29
Year: 2025
Keywords: feedforward network learning algorithm; intelligent product human-computer interaction; speech recognition; network model.
File-URL: http://www.inderscience.com/link.php?id=149685
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Template-Type: ReDIF-Article 1.0
Author-Name: Sarika Zuhri
Author-X-Name-First: Sarika
Author-X-Name-Last: Zuhri
Author-Name: Suhendrianto Suhendrianto
Author-X-Name-First: Suhendrianto
Author-X-Name-Last: Suhendrianto
Author-Name: Friesca Erwan
Author-X-Name-First: Friesca
Author-X-Name-Last: Erwan
Title: Designing a myoelectric prosthetic arm for trans-radial amputation based on Indonesian anthropometric data
Abstract:
Trans-radial amputation patients commonly use a prosthetic arm to replace the loss of a body part, specifically the hand. However, Indonesian users expressed concerns about high prices, non-ergonomic sizes and inappropriate designs, leading to a lack of confidence. This study aims to design a myoelectric prosthetic arm tailored to Indonesian anthropometric data, incorporating static and dynamic measurements obtained from the Indonesian anthropometric database and prior research on ergonomic-based product design. Employing SolidWorks CAD, the study analyses the measurements to determine appropriate hand dimensions and inform the design elements for prototyping. The study develops technical drawings for product design and a myoelectric prosthetic arm aligned with Indonesian anthropometric data. A comparison of two market-available brands emphasises competitive features, focusing on appropriate sizing and ergonomic considerations. The study recommends exploring user acceptance, affordability through engineering economic analysis and ethical implications as extended research beyond the current scope.
Journal: Int. J. of Product Development
Pages: 299-310
Issue: 3/4
Volume: 29
Year: 2025
Keywords: myoelectric prosthetic arm; trans-radial amputation; anthropometric data; Indonesian anthropometrics; ergonomics.
File-URL: http://www.inderscience.com/link.php?id=149687
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:3/4:p:299-310

Template-Type: ReDIF-Article 1.0
Author-Name: Xueying Xu
Author-X-Name-First: Xueying
Author-X-Name-Last: Xu
Title: Adaptive colour compensation method for human-computer interaction interface images based on colour attenuation prior
Abstract:
To address the issues of low contrast and information entropy in traditional colour compensation methods, this paper proposes a novel adaptive colour compensation method for Human-Computer Interaction (HCI) interface images based on colour attenuation prior. First, filtering algorithms are employed to denoise the original HCI interface image. Next, a linear model of image depth is established using colour attenuation prior, and Gaussian filtering is applied to images with varying scene depths. Then, the semi-quadratic splitting method is used to calculate the transmittance value of each pixel in the HCI interface image. Finally, adaptive Gamma correction weights are applied to perform colour compensation in the RGB colour space. Experimental results demonstrate that the proposed method achieves an average contrast of 76.56 and an information entropy range of 7.8-8.0, indicating excellent performance.
Journal: Int. J. of Product Development
Pages: 380-396
Issue: 3/4
Volume: 29
Year: 2025
Keywords: HCI; human-computer interaction interface image; colour attenuation prior; linear model; Gaussian filtering; Gamma correction weight; colour compensation.
File-URL: http://www.inderscience.com/link.php?id=149688
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:3/4:p:380-396

Template-Type: ReDIF-Article 1.0
Author-Name: Chunhui Liu
Author-X-Name-First: Chunhui
Author-X-Name-Last: Liu
Title: Fuzzy comprehensive evaluation of user experience quality in human-computer interaction interface under visual communication
Abstract:
In order to overcome the problems of low indicator coverage, internal consistency and accuracy in traditional methods, a fuzzy comprehensive evaluation method of user experience quality in human-computer interaction interface under visual communication is proposed. After extracting the visual communication features of human-computer interaction interfaces, preliminary evaluation indicators for user experience quality of human-computer interaction interfaces were determined. Grey correlation analysis method was used to screen the indicators, and a human-computer interaction interface user experience quality index system was built. Combining the C-OWA operator weighting method with fuzzy comprehensive evaluation, relevant evaluation results for user experience quality of human-computer interaction interfaces were obtained. The experimental results show that the maximum coverage rate of the evaluation indicators of the proposed method is 98.75%, the maximum internal consistency of the evaluation indicators is 0.98 and the evaluation accuracy is between 95.3% and 97.7%.
Journal: Int. J. of Product Development
Pages: 362-379
Issue: 3/4
Volume: 29
Year: 2025
Keywords: visual communication; human-computer interaction interface; user experience quality; fuzzy comprehensive evaluation; C-OWA operator weighting method.
File-URL: http://www.inderscience.com/link.php?id=149689
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:3/4:p:362-379

Template-Type: ReDIF-Article 1.0
Author-Name: Juchen Li
Author-X-Name-First: Juchen
Author-X-Name-Last: Li
Author-Name: Dongsheng Ma
Author-X-Name-First: Dongsheng
Author-X-Name-Last: Ma
Title: The trajectory planning method for industrial robot work operation based on spline interpolation algorithm
Abstract:
To shorten industrial robots' trajectory running time and reduce operating errors, a spline interpolation algorithm-based method for industrial robot work trajectory planning is proposed. First, a trajectory planning function for industrial robots is constructed using B-spline curves. Second, based on the curvature extremum point segmentation B-spline, independent S-shaped velocity planning is performed. The Simpson integration method calculates the curve length and determines the time span. Then, the S-shaped speed planning strategy implements independent speed configuration for segmented trajectories of industrial robots, achieving smooth transition speed control. Finally, the Cartesian coordinates of the interpolation points for the industrial robot's trajectory are calculated to complete the running trajectory planning. Test results show the proposed method can shorten trajectory running time to within 2 seconds and reduce trajectory error to within 0.3 cm.
Journal: Int. J. of Product Development
Pages: 329-343
Issue: 3/4
Volume: 29
Year: 2025
Keywords: spline interpolation algorithm; industrial robot; work operation trajectory; trajectory planning.
File-URL: http://www.inderscience.com/link.php?id=149690
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:3/4:p:329-343

Template-Type: ReDIF-Article 1.0
Author-Name: Shuang Li
Author-X-Name-First: Shuang
Author-X-Name-Last: Li
Author-Name: Xueqin Ge
Author-X-Name-First: Xueqin
Author-X-Name-Last: Ge
Title: Digital marketing strategy optimisation of e-commerce products considering user needs
Abstract:
This study proposes a novel framework for optimising digital marketing strategies in e-commerce by integrating comprehensive user needs analysis. Through systematic examination of current challenges in e-commerce digital marketing, we establish the critical role of user-centric approaches in enhancing marketing effectiveness. Our methodology addresses existing strategic deficiencies by: (1) implementing enhanced data collection protocols to expand both breadth and depth of consumer insights; (2) applying advanced analytics techniques; (3) developing precise user segmentation models and (4) creating personalised content delivery systems with optimised user experience and engagement mechanisms. The case analysis results show that the maximum market share of the enterprise under the application of the proposed method is 1.47%, the maximum return on investment is 28.7% and customer satisfaction ranges from 0.84 to 0.93.
Journal: Int. J. of Product Development
Pages: 311-328
Issue: 3/4
Volume: 29
Year: 2025
Keywords: user needs; e-commerce products; digital; marketing strategy optimisation; segmenting users.
File-URL: http://www.inderscience.com/link.php?id=149691
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:3/4:p:311-328

Template-Type: ReDIF-Article 1.0
Author-Name: Lei Zhang
Author-X-Name-First: Lei
Author-X-Name-Last: Zhang
Author-Name: Baochen Yang
Author-X-Name-First: Baochen
Author-X-Name-Last: Yang
Author-Name: Tianshu Pang
Author-X-Name-First: Tianshu
Author-X-Name-Last: Pang
Author-Name: Wenlian Guo
Author-X-Name-First: Wenlian
Author-X-Name-Last: Guo
Title: Method for recognising the ignition point target position of intelligent fire extinguishing robot based on machine vision
Abstract:
To improve the accuracy of ignition-point target location recognition and reduce recognition time, this paper proposes an intelligent fire-extinguishing robot target recognition method based on machine vision. First, a binocular stereo vision system is used to capture images of the ignition point. Second, background noise is reduced through image segmentation, while occlusion is processed using normalised colour-difference segmentation and linear projection methods. Finally, by combining Shannon's entropy mutual information theory with colour moment feature extraction, accurate recognition of the ignition-point target position is achieved through quantification of image information and evaluation of information-sharing degrees between image regions. Experimental results demonstrate that the proposed method maintains over 95% recognition accuracy, with the maximum recognition time not exceeding 3 seconds.
Journal: Int. J. of Product Development
Pages: 261-276
Issue: 3/4
Volume: 29
Year: 2025
Keywords: machine vision; intelligent fire extinguishing robot; ignition point; target location recognition.
File-URL: http://www.inderscience.com/link.php?id=149692
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:3/4:p:261-276

Template-Type: ReDIF-Article 1.0
Author-Name: Wei Zhang
Author-X-Name-First: Wei
Author-X-Name-Last: Zhang
Author-Name: QiLong Li
Author-X-Name-First: QiLong
Author-X-Name-Last: Li
Title: Global matching method for virtual reality image of intelligent product based on SIFT algorithm and wavelet transform
Abstract:
In order to improve the accuracy and efficiency of global image matching, the research on intelligent product virtual reality image global matching method based on SIFT algorithm and wavelet transform is carried out. This method first completes the virtual reality image acquisition and grey-scale processing of intelligent products, then decomposes the virtual reality image of intelligent products based on wavelet transform, and finally analyses the low-frequency approximate sub-image obtained based on SIFT algorithm to complete the global image matching. The experimental results show that the proposed method can be applied to the global matching of virtual reality images of intelligent products, with a matching accuracy of more than 95%, a time consumption is between 874 ms and 1092 ms and the application effect is good.
Journal: Int. J. of Product Development
Pages: 344-361
Issue: 3/4
Volume: 29
Year: 2025
Keywords: SIFT algorithm; intelligent products; global image matching.
File-URL: http://www.inderscience.com/link.php?id=149693
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:3/4:p:344-361

Template-Type: ReDIF-Article 1.0
Author-Name: Deborah M. Santos
Author-X-Name-First: Deborah M.
Author-X-Name-Last: Santos
Author-Name: Debora Verniz
Author-X-Name-First: Debora
Author-X-Name-Last: Verniz
Author-Name: Thiago B. Pontes
Author-X-Name-First: Thiago B.
Author-X-Name-Last: Pontes
Author-Name: Joyce F. Frutuôso
Author-X-Name-First: Joyce F.
Author-X-Name-Last: Frutuôso
Author-Name: Liryan S.S. Pereira
Author-X-Name-First: Liryan S.S.
Author-X-Name-Last: Pereira
Author-Name: Cristiane M.U. Lopes
Author-X-Name-First: Cristiane M.U.
Author-X-Name-Last: Lopes
Title: JOI: a case study from product development to tests and validation
Abstract:
During the COVID-19 pandemic, societies rapidly adapted to minimise SARS-CoV-2 transmission via airborne droplets and by contact with contaminated surfaces. The surge in cases caused a global shortage of Personal Protective Equipment (PPE) kits. In response, the maker community mobilised to design and share innovative PPE models online for digital fabrication. This paper presents the development of a hand device, JOI, to help avoiding COVID-19 contamination by contact. The device was created through an experimental process involving design, modelling and functional analysis, divided into four stages: object research, environment study, prototyping and user evaluation. Four hundred units were distributed, and 71 users completed an optional survey. Results show that the final design enables touch-free interaction with high contact surfaces, such as buttons, switches, doorknobs, windows and faucets without direct contact, enhancing daily safety.
Journal: Int. J. of Product Development
Pages: 277-298
Issue: 3/4
Volume: 29
Year: 2025
Keywords: COVID-19; digital fabrication; product development; 3D print; good health and well-being; product design; additive manufacture.
File-URL: http://www.inderscience.com/link.php?id=149696
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:3/4:p:277-298

Template-Type: ReDIF-Article 1.0
Author-Name: Yan Luo
Author-X-Name-First: Yan
Author-X-Name-Last: Luo
Author-Name: Zhaosheng Yang
Author-X-Name-First: Zhaosheng
Author-X-Name-Last: Yang
Title: Intelligent home interactive gesture recognition method based on multimodal feature fusion and DTW algorithm
Abstract:
In order to improve the accuracy of smart home interactive gesture recognition, a smart home interactive gesture recognition method based on multimodal feature fusion and DTW algorithm is proposed. The sampled gesture data are subjected to moving average filtering, and the effective segments are extracted. A CR3D network model is constructed by integrating residual connections into the 3D-CNN framework and multimodal feature fusion is performed on the video frame sequence and the video optical flow frame sequence. Subsequently, the optimal warping path is determined using the DTW algorithm. The Euclidean distance is replaced by the cumulative distance to derive the gesture recognition result. The results show that the error rate is maintained below 0.5%, the coefficient of variation for the same gesture recognised across multiple users is 0 and the minimum recognition rate for multiple gesture categories reaches 96%. These findings indicate that the proposed method achieves high recognition accuracy.
Journal: Int. J. of Product Development
Pages: 415-439
Issue: 3/4
Volume: 29
Year: 2025
Keywords: smart home; gesture recognition; multimodal feature fusion; CR3D network model; DTW algorithm.
File-URL: http://www.inderscience.com/link.php?id=149699
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:3/4:p:415-439

Template-Type: ReDIF-Article 1.0
Author-Name: Ji Zhang
Author-X-Name-First: Ji
Author-X-Name-Last: Zhang
Author-Name: Na Wang
Author-X-Name-First: Na
Author-X-Name-Last: Wang
Title: Consumer satisfaction modelling of online shopping smart home products based on SEM
Abstract:
To fully analyse the influencing factors of online sales of smart home products, this study conducted satisfaction modelling research on consumers' online shopping of smart home products based on Structural Equation Modelling (SEM) theory. The article first introduces multiple interaction effects and mediating mechanisms for analysis, completing the design of a consumer satisfaction structure model and measurement model for online shopping of smart home products, and then conducts empirical research based on this. The empirical results indicate that, except for hypothesis H5 (perceived ease of use  perceived pleasure), the absolute values of the path coefficients for all other hypotheses exceed 0.13, reaching a significant level. All variables have an impact on consumer satisfaction with online shopping of smart home products, among which website quality, perceived ease of use, perceived usefulness, perceived pleasure and online shopping attitude have a positive impact, while perceived risk has a negative impact.
Journal: Int. J. of Product Development
Pages: 397-414
Issue: 3/4
Volume: 29
Year: 2025
Keywords: consumers; online shopping; smart home products; satisfaction.
File-URL: http://www.inderscience.com/link.php?id=149700
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:3/4:p:397-414

Template-Type: ReDIF-Article 1.0
Author-Name: Yue Du
Author-X-Name-First: Yue
Author-X-Name-Last: Du
Title: Colour enhancement of visual images in human-computer interaction interface under visual communication
Abstract:
To enhance the vibrancy of hues and the structural coherence of visuals within interfaces for human-computer interaction, a methodology for augmenting the colouration of visuals in such interfaces is explored through the lens of visual communication. Initially, the noisy visuals of the human-machine interaction interface are refined using mathematical frameworks and sustained diffusion techniques. Subsequently, frame-by-frame scanning and three-dimensional spatial reconstruction are utilised to identify and refine the colour characteristics of the visuals in human-computer interaction interfaces. Ultimately, by integrating an ambient lighting model and employing spatial filtering, the visuals of human-computer interaction interfaces undergo colour enhancement to counteract the influences of surrounding light and motion-induced blur, thereby elevating the clarity of image hues and the overall visual fidelity. The experimental findings indicate that the approach detailed herein maintains high levels of colour and brightness saturation, with the Structural Similarity Index consistently registering at 0.97.
Journal: Int. J. of Product Development
Pages: 440-453
Issue: 3/4
Volume: 29
Year: 2025
Keywords: visual communication; human-computer interaction interface; visual images; colour enhancement.
File-URL: http://www.inderscience.com/link.php?id=149701
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Handle: RePEc:ids:ijpdev:v:29:y:2025:i:3/4:p:440-453