International Journal of Product Development (12 papers in press)

Regular Issues

• Smart product's human-computer interaction voice recognition method based on a novel feedforward network learning algorithm  
  by Lian Xue, Chengsong Hu 
  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.
  Keywords: feedforward network learning algorithm; intelligent product human-computer interaction; speech recognition; network model.
  DOI: 10.1504/IJPD.2025.10073285
   
  
• Method for recognising the ignition point target position of intelligent fire extinguishing robot based on machine vision  
  by Lei Zhang, Baochen Yang, Tianshu Pang, Wenlian Guo 
  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.
  Keywords: machine vision; intelligent fire extinguishing robot; ignition point; target location recognition.
  DOI: 10.1504/IJPD.2025.10073480
   
  
• JOI: a case study from product development to tests and validation  
  by Deborah M. Santos, Debora Verniz, Thiago B. Pontes, Joyce F. Frutuôso, Liryan S.S. Pereira, Cristiane M.U. Lopes 
  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.
  Keywords: COVID-19; digital fabrication; product development; 3D print; good health and well-being; product design; additive manufacture.
  DOI: 10.1504/IJPD.2025.10073629
   
  
• Designing a myoelectric prosthetic arm for trans-radial amputation based on Indonesian anthropometric data  
  by Sarika Zuhri, Suhendrianto Suhendrianto, Friesca Erwan 
  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.
  Keywords: myoelectric prosthetic arm; trans-radial amputation; anthropometric data; Indonesian anthropometrics; ergonomics.
  DOI: 10.1504/IJPD.2025.10073414
   
  
• Digital marketing strategy optimisation of e-commerce products considering user needs  
  by Shuang Li, Xueqin Ge 
  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.
  Keywords: user needs; e-commerce products; digital; marketing strategy optimisation; segmenting users.
  DOI: 10.1504/IJPD.2025.10073479
   
  
• The trajectory planning method for industrial robot work operation based on spline interpolation algorithm  
  by Juchen Li, Dongsheng Ma 
  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.
  Keywords: spline interpolation algorithm; industrial robot; work operation trajectory; trajectory planning.
  DOI: 10.1504/IJPD.2025.10073478
   
  
• Global matching method for virtual reality image of intelligent product based on SIFT algorithm and wavelet transform  
  by Wei Zhang, QiLong Li 
  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.
  Keywords: SIFT algorithm; intelligent products; global image matching.
  DOI: 10.1504/IJPD.2025.10073481
   
  
• Fuzzy comprehensive evaluation of user experience quality in human-computer interaction interface under visual communication  
  by Chunhui Liu 
  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%.
  Keywords: visual communication; human-computer interaction interface; user experience quality; fuzzy comprehensive evaluation; C-OWA operator weighting method.
  DOI: 10.1504/IJPD.2025.10073477
   
  
• Adaptive colour compensation method for human-computer interaction interface images based on colour attenuation prior  
  by Xueying Xu 
  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.
  Keywords: HCI; human-computer interaction interface image; colour attenuation prior; linear model; Gaussian filtering; Gamma correction weight; colour compensation.
  DOI: 10.1504/IJPD.2025.10073476
   
  
• Consumer satisfaction modelling of online shopping smart home products based on SEM  
  by Ji Zhang, Na Wang 
  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.
  Keywords: consumers; online shopping; smart home products; satisfaction.
  DOI: 10.1504/IJPD.2025.10073764
   
  
• Intelligent home interactive gesture recognition method based on multimodal feature fusion and DTW algorithm  
  by Yan Luo, Zhaosheng Yang 
  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.
  Keywords: smart home; gesture recognition; multimodal feature fusion; CR3D network model; DTW algorithm.
  DOI: 10.1504/IJPD.2025.10073763
   
  
• Colour enhancement of visual images in human-computer interaction interface under visual communication  
  by Yue Du 
  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.
  Keywords: visual communication; human-computer interaction interface; visual images; colour enhancement.
  DOI: 10.1504/IJPD.2025.10073765