Template-Type: ReDIF-Article 1.0
Author-Name: Fang Wang
Author-X-Name-First: Fang
Author-X-Name-Last: Wang
Author-Name: Huaxi Chen
Author-X-Name-First: Huaxi
Author-X-Name-Last: Chen
Title: Visual communication method of graphic language in industrial product design
Abstract:
In order to improve the ideality of product design effectively, enhance its market attraction and competitiveness and obtain greater economic benefits, the paper designs the visual communication method of graphic language in industrial product design. Through the analysis of industrial product design characteristics, principles and practical problems, the interview method and qualitative analysis method are used to explore the reasons for the low impact of product packaging. Then brainstorming method is used to quantitatively analyse the unique selling points of products, and select graphic language elements, and then construct industrial product packaging graphic language and its scene, to realise the visual communication design of industrial product graphic language. The experimental results show that the design satisfaction of this method is high, the competitiveness index of product packaging is 90%, the attractiveness index is 0.7, and it can obtain more economic benefits of industrial products.
Journal: Int. J. of Product Development
Pages: 1-11
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: industrial products; visual communication; graphic language; qualitative analysis; brainstorming.
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Template-Type: ReDIF-Article 1.0
Author-Name: Hua Song
Author-X-Name-First: Hua
Author-X-Name-Last: Song
Title: Colour difference detection method of product packaging based on local enhancement
Abstract:
In order to overcome the problem of high detection absolute error rate and complexity of detection time in traditional methods, this paper proposes a method of colour difference detection based on local enhancement. The projection value of the colour area block of the outer packaging is determined. The threshold segmentation method is used to detect the colour difference of the outer packaging of the product. The difference pixels are extracted by local enhancement method to detect the colour difference of the outer packaging. The results show that the average accuracy of the method is 98.6%, the time of colour difference detection is only 6S, and the absolute error rate of colour difference detection is 0.26%. This method can effectively reduce the complexity of detection time, reduce the absolute error rate of detection, and improve the correct identification rate of colour difference of outer packaging.
Journal: Int. J. of Product Development
Pages: 12-24
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: binarisation energy map; threshold segmentation method; local enhancement; feature extraction.
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Template-Type: ReDIF-Article 1.0
Author-Name: Keke Yang
Author-X-Name-First: Keke
Author-X-Name-Last: Yang
Title: Adaptive adjustment method of intelligent industrial product dimension accuracy
Abstract:
In order to overcome the problems of low precision and long time in the traditional method of adjusting the accuracy of external dimensions, this paper proposes an adaptive adjusting method for the accuracy of external dimensions of intelligent industrial products. The car model of industrial product dimension accuracy is constructed. After predicting and adjusting the parameters adaptively, the intelligent industrial product dimension error is detected, and the calculation process of dimension coefficient correction factor <em>θ</em> is determined. By describing the grinding process of industrial products, the residual vector in the adjustment process is determined to realise the adaptive adjustment of intelligent product dimension accuracy. The experimental results show that the adjustment time is only 1.5 s, and the relative error and absolute error are close to zero. The method in this paper can improve the accuracy and effect of dimension adjustment, and reduce the time consumption of industrial product dimension adjustment.
Journal: Int. J. of Product Development
Pages: 25-38
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: CAR model; adjustment parameter; residual vector; correction factor.
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Template-Type: ReDIF-Article 1.0
Author-Name: Tiesheng Liu
Author-X-Name-First: Tiesheng
Author-X-Name-Last: Liu
Title: Defect detection method of product appearance design based on visual communication model
Abstract:
In order to overcome the problems of low detection accuracy and efficiency in traditional product appearance design defect detection methods, a product appearance design defect detection method based on visual communication model was proposed. The X-ray visual inspection system is used to collect the image of product appearance design, and the method of superposition of multiple images and histogram equalisation are used to denoise and enhance the defect image of product appearance design. Gabor transform is used to extract the features of the pre-processed defect image. According to the extraction results, virtual reality (VR) reconstruction method is used to construct the visual inspection model of product appearance design defects, and the defect detection of product appearance design is realised. The simulation results show that the proposed method has better detection results and improves the detection efficiency. The shortest detection time is only 5 s.
Journal: Int. J. of Product Development
Pages: 39-51
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: visual communication; appearance; modelling design; defect detection; integral projection method; Gabor transform.
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Template-Type: ReDIF-Article 1.0
Author-Name: Xiaoyuan Luo
Author-X-Name-First: Xiaoyuan
Author-X-Name-Last: Luo
Author-Name: Jun Liu
Author-X-Name-First: Jun
Author-X-Name-Last: Liu
Title: Personalised recommendation of smart home products based on convolution neural network
Abstract:
In order to solve the problems of high recommendation error and long recommendation time in traditional personalised recommendation methods for smart home products, a new personalised recommendation method for smart home products based on convolution neural network is proposed. The attributes of smart home products are superimposed, and the square root of the attribute weight vector and all components are calculated. Determine the relationship between the attributes and important factors of smart home products to be recommended, and complete the weight calculation of smart home product recommendation. The personalised recommendation model of smart home products is constructed, and the convolution neural network is used to obtain the global optimal solution of the personalised recommendation model, so as to realise the personalised recommendation of smart home products. The experimental results show that the minimum error of the proposed method is about 0.3%, and the recommendation time is less than 15 s.
Journal: Int. J. of Product Development
Pages: 52-63
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: smart home products; personalised recommendation; product attributes; convolution neural network.
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Template-Type: ReDIF-Article 1.0
Author-Name: Yinyin Wang
Author-X-Name-First: Yinyin
Author-X-Name-Last: Wang
Title: Product design difference perception model based on visual communication technology
Abstract:
In order to overcome the problems of high output error rate and low signal-to-noise ratio in the current product appearance design difference perception model, a product appearance design difference perception model based on visual communication technology is proposed and designed. Based on the data analysis of product appearance design difference perception, the basic information of difference perception is introduced to adjust the overall image information of product appearance design, and the product appearance design difference perception model is set based on visual communication technology, so as to achieve the purpose of design research of the overall model. The experimental results show that the output error rate of the designed model is small, the average output error is 3.08%, the peak signal-to-noise ratio is high, and the highest peak signal-to-noise ratio is 47.2. It shows that the designed model meets the needs of improving the effect of product appearance design.
Journal: Int. J. of Product Development
Pages: 64-76
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: visual communication technology; product appearance; appearance design; design difference perception model.
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Template-Type: ReDIF-Article 1.0
Author-Name: Ming Yang
Author-X-Name-First: Ming
Author-X-Name-Last: Yang
Title: User experience measurement methods of e-commerce products based on cloud model
Abstract:
Traditional e-commerce product user experience measurement methods have the problems of poor measurement effect and low user experience satisfaction. This paper proposes a cloud based e-commerce product user experience measurement method. This paper uses the hierarchical structure model to build the e-commerce product user experience measurement index system to obtain the e-commerce product user experience index. Determine the proportion of indicators to complete the construction of cloud model; calculate the cloud drop expected value, expected entropy and super entropy in the cloud model, and transform the e-commerce product user experience measurement index weight coefficient into normal cloud to realise the e-commerce product user experience degree quantity. The results show the measure accuracy is about 98%, and the measurement time is less than 2 s.
Journal: Int. J. of Product Development
Pages: 77-88
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: cloud model; e-commerce products; user experience; weight coefficient; fuzzy comprehensive metric.
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Template-Type: ReDIF-Article 1.0
Author-Name: Yanrong Wang
Author-X-Name-First: Yanrong
Author-X-Name-Last: Wang
Author-Name: JinJin Chao
Author-X-Name-First: JinJin
Author-X-Name-Last: Chao
Author-Name: Ying Li
Author-X-Name-First: Ying
Author-X-Name-Last: Li
Title: Real-time information sharing model of product supply chain based on Internet of Things
Abstract:
In order to overcome the problems of poor information security and low sharing efficiency existing in the traditional product supply chain information real-time sharing model, this paper proposes a new product supply chain information real-time sharing model based on Internet of Things technology. Set the information double chain storage mode, calculate the data writing speed of the Internet of Things, determine the optimal block size of the product supply chain through the difficulty control algorithm, and optimise the anti tampering ability of the model to the information when there are attacks in the supply chain. Using the supply chain technology to establish the underlying peer-to-peer network, the dual chain storage of regional product information data sharing, building product information real-time sharing model. Experimental results show that compared with the traditional model, this model has higher security and sharing efficiency, and the sharing efficiency is always above 90%.
Journal: Int. J. of Product Development
Pages: 89-101
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: Internet of Things technology; product supply chain; information real-time sharing; model building; tamper proof; difficulty control algorithm.
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Template-Type: ReDIF-Article 1.0
Author-Name: Wei Liu
Author-X-Name-First: Wei
Author-X-Name-Last: Liu
Author-Name: Zhen Liu
Author-X-Name-First: Zhen
Author-X-Name-Last: Liu
Title: User experience evaluation of intelligent sports bracelet based on multi-factor fusion
Abstract:
In order to overcome the problems of the traditional methods, such as the low accuracy of calculating the weight of evaluation factors, the high error rate of evaluation and the long output time of evaluation results, a user experience evaluation method based on multi-factor fusion was proposed. Building intelligent motion bracelet user experience evaluation system, determine various evaluation factors relative to the membership degree of evaluation factor set, to construct judgment matrix, get the weights of preliminary results, the weighting results are consistency check, get the final weight calculation results, and the multi-factor fusion method was used to construct intelligent motion bracelet user experience evaluation model, get the final user experience evaluation result. Experimental results show that the calculation accuracy of the weight of evaluation factors is more than 94%, the error rate of evaluation varies from 0 to 2%, and the average output time of evaluation results is 0.62 s.
Journal: Int. J. of Product Development
Pages: 102-116
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: multi-factor fusion; intelligent sports bracelet; user experience evaluation; evaluation factor set; weighting.
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Template-Type: ReDIF-Article 1.0
Author-Name: Weicheng Ma
Author-X-Name-First: Weicheng
Author-X-Name-Last: Ma
Author-Name: Yanfei Lv
Author-X-Name-First: Yanfei
Author-X-Name-Last: Lv
Title: Evaluation method of smart bracelet health monitoring accuracy based on multi-level data fusion
Abstract:
In the process of smart bracelet health monitoring, there are some problems, such as low efficiency of accuracy evaluation and high fusion error rate. An accuracy evaluation method of smart bracelet health monitoring based on multi-level data fusion. The intelligent bracelet is monitored by information collection, information judgment and information display. The v1.1 temperature acquisition sensor and pulse sensor are selected to measure the temperature, heart rate and blood oxygen saturation. The cloud design and fuzzy information clustering method are used to realise the effective integration of multi-level data and information, and the maximum likelihood estimation model of the health index of the intelligent bracelet is established to obtain the intelligent information evaluation results of the accuracy of health monitoring of bracelet. The experimental results show that the accuracy evaluation efficiency of the proposed method is always above 80%, and the fusion error rate is always below 0.1%.
Journal: Int. J. of Product Development
Pages: 117-130
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: multi-level data fusion; smart bracelet; health monitoring; accuracy evaluation.
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Template-Type: ReDIF-Article 1.0
Author-Name: Heng Luo
Author-X-Name-First: Heng
Author-X-Name-Last: Luo
Title: Product 3D virtual display scene modelling based on augmented reality technology
Abstract:
In order to overcome the problems of low precision and long time in traditional methods, a 3D virtual display scene modelling method based on augmented reality technology is proposed. The 3D virtual display scene image of the product is obtained by camera, and the 3D virtual display scene coordinate is obtained by using the 3D registration technology in augmented reality. The real product scene image and virtual position are synthesised in virtual reality according to the acquired 3D space coordinates, and the geometric distortion phenomenon generated in the synthesis process is corrected. After the correction, the 3D virtual display scene coordinates are obtained, the product scene image is binary processing, the product image contour is extracted, and the 3D virtual display scene of the product is generated. The simulation results show that the modelling accuracy of this method is kept at 95%, and the modelling time is only 4 s.
Journal: Int. J. of Product Development
Pages: 131-142
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: augmented reality technology; 3D virtual; display scene; 3D registration technology; anti-perspective transformation method.
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Template-Type: ReDIF-Article 1.0
Author-Name: Yang Luo
Author-X-Name-First: Yang
Author-X-Name-Last: Luo
Author-Name: Yan Wang
Author-X-Name-First: Yan
Author-X-Name-Last: Wang
Title: Fast fusion method of virtual image of product shape based on progressive fill line algorithm
Abstract:
In order to overcome the problems of low precision and speed in the existing fast fusion methods of virtual image of product shape, a new fast fusion method of virtual image of product shape based on progressive fill line algorithm is proposed in this paper. The progressive filling line algorithm is used to fill the virtual image holes of product shape, and dibr technology is introduced to reconstruct the image position and restore the image colour. Finally, the fuzzy minimum error threshold algorithm and Ostu algorithm are used to calculate the optimal threshold and global threshold of the product shape virtual image features, so as to realise the rapid fusion of product shape virtual image. The experimental results show that the design method can ensure the fusion accuracy and clarity of virtual image of product shape, and the shortest fusion time is 7 ms.
Journal: Int. J. of Product Development
Pages: 143-155
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: progressive fill line algorithm; time-varying illumination; product shape; virtual image; image fusion.
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Template-Type: ReDIF-Article 1.0
Author-Name: Zuhui You
Author-X-Name-First: Zuhui
Author-X-Name-Last: You
Title: Study on spatial layout evaluation of game UI interface based on grey interval clustering
Abstract:
In order to overcome the problems of time-consuming and low accuracy of traditional evaluation methods, a new evaluation method of game UI spatial layout based on grey interval clustering is proposed. This paper analyses the relevant content of the game UI interface, integrates the interval gray degree and gray theory, and designs the gray interval whitening weight function and gray interval clustering process. On this basis, according to the gray interval category of the index sample to be evaluated, combined with its gray interval category, the spatial layout of the game UI interface is evaluated. The experimental results show that the time-consuming of the evaluation result generation process varies from 0.60 min to 0.79 min, the accuracy of the evaluation result varies from 92.5% to 94.6%, and it has stronger adaptive ability, which proves the effectiveness of the method.
Journal: Int. J. of Product Development
Pages: 156-167
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: game UI interface; interface spatial layout; grey interval clustering; spatial layout evaluation.
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Template-Type: ReDIF-Article 1.0
Author-Name: Yujie Wei
Author-X-Name-First: Yujie
Author-X-Name-Last: Wei
Title: Monitoring method of use frequency of sports electronic products based on non-uniform sampling
Abstract:
In order to overcome the problems of slow response speed of monitoring instruction, poor anti-interference effect and large error of monitoring results, this paper proposes a frequency monitoring method for sports electronic products based on non-uniform sampling. The frequency information of sports electronic products is collected by non-uniform sampling, and the noise reduction processing is carried out by using the average operator filter to obtain reliable output results. Finally, the monitoring procedure is started to complete the monitoring of the frequency of sports electronic products. The experimental results show that the response time of the monitoring instruction is 3.0-3.8 s, the error of the monitoring results varies from 4.2% to 4.7%, which proves that the method has faster response speed and higher effectiveness to the monitoring instruction, and has stronger anti-interference effect in the monitoring process, which indicates that the method has higher application advantages.
Journal: Int. J. of Product Development
Pages: 168-178
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: sports electronic products; frequency of product use; frequency monitoring; non-uniform sampling; average operator filter.
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Template-Type: ReDIF-Article 1.0
Author-Name: Gangling Liu
Author-X-Name-First: Gangling
Author-X-Name-Last: Liu
Title: Multi-objective optimisation method of human-computer interaction interface layout of music electronic products based on adaptive particle swarm optimisation
Abstract:
Aiming at the problems of poor optimisation effect in multi-objective optimisation of human-computer interface layout of music electronic products, a multi-objective optimisation method of human-computer interface layout of music electronic products based on adaptive particle swarm optimisation is designed. Analyse the characteristics of interface layout structure, and determine the component layout level, layout parallax and split screen ratio as the optimisation objectives. The fuzzy judgement results of multi-objective parameters are determined by fuzzy hierarchy, and the weight value is obtained. Analyse the basic principle of adaptive particle swarm optimisation, set the adaptive particle radius and adaptive value, constantly update the adaptive particle position, build a multi-objective optimisation model and solve the optimal solution of the model through the objective function to complete the layout multi-objective optimisation. The results show that the multi-objective optimisation accuracy of the proposed method is higher than 90%.
Journal: Int. J. of Product Development
Pages: 179-192
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: adaptive particle swarm optimisation; music electronic products; human computer interaction interface; multi-objective optimisation; adaptive particle radius; fitness value.
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Template-Type: ReDIF-Article 1.0
Author-Name: Hai-Xia Yan
Author-X-Name-First: Hai-Xia
Author-X-Name-Last: Yan
Title: Human-computer interaction experience evaluation method of intelligent electronic product interface
Abstract:
Aiming at the problems of large evaluation error and low correlation of evaluation indexes in the evaluation of human-computer interaction experience of intelligent electronic product interface, the evaluation method of human-computer interaction experience of intelligent electronic product interface is proposed. Firstly, the characteristic data of balance, conciseness and integrity of intelligent electronic product interface are extracted and pre-processed. Secondly, according to the divided experience dimension, the evaluation indexes of sensory experience, interactive experience and emotional experience are determined. The entropy value of the evaluation index is calculated through the score matrix to determine the weight of the evaluation index. Finally, the membership function is combined with the experience evaluation index weight set to build a fuzzy experience comprehensive evaluation model, and the evaluation results are modified by the correction function to realise the experience evaluation. The results show the evaluation method in this paper can effectively reduce the evaluation error.
Journal: Int. J. of Product Development
Pages: 193-205
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: intelligent electronic product interface; human-computer interaction experience; dimension; score matrix; variation factor.
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Template-Type: ReDIF-Article 1.0
Author-Name: Kai Liu
Author-X-Name-First: Kai
Author-X-Name-Last: Liu
Title: An adaptive median filtering of visual product image based on gradient direction information
Abstract:
In order to overcome the problems of long filtering process, low signal-to-noise ratio of output results and low integrity of image information in traditional image median filtering methods, a new research method of visual product image adaptive median filtering based on gradient direction information is proposed in this paper. Based on the digital representation of the visual product image, the gradient direction information method is used to extract the noise information in the visual product image, so as to improve the quality of image filtering. Finally, the adaptive median filtering of visual product image is completed by processing the median and extreme values of visual product image. The simulation results show that the filtering process of this method takes 0.25-0.45 min, the signal-to-noise ratio can reach 85 dB, and the integrity of image information varies from 97.5% to 98.2%, which proves that it effectively realises the design expectation.
Journal: Int. J. of Product Development
Pages: 206-215
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: gradient direction information; visual product image; adaptive median filter; noise extraction.
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Template-Type: ReDIF-Article 1.0
Author-Name: Xu Zheng
Author-X-Name-First: Xu
Author-X-Name-Last: Zheng
Title: An intermediate interpolation of VR glasses display animation based on hierarchical constraints
Abstract:
In order to solve the problem of long interpolation time in traditional methods, intermediate interpolation method of VR glasses display animation based on hierarchical constraints is proposed. Firstly, the corresponding relationship between the 3D objects of VR glasses display animation is analysed. Secondly, the swing posture of the user's head is obtained, the virtual scene in the user's VR glasses display animation is adjusted and the image parameters of the in between of VR glasses display animation are obtained. Finally, the visual feature points are obtained by using the automatic feature point extraction method, and the intermediate interpolation is realised according to the interpolation algorithm based on hierarchical constraints. The experimental results show that when the number of iterations is 80, the image region overlap rate of this method is only 1.9% and when the number of animations is 100, the time of intermediate interpolation is only 112 ms.
Journal: Int. J. of Product Development
Pages: 216-229
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: hierarchical constraints; VR glasses; display animation; intermediate interpolation; visual feature points.
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Template-Type: ReDIF-Article 1.0
Author-Name: Ruyun Zou
Author-X-Name-First: Ruyun
Author-X-Name-Last: Zou
Title: Accuracy evaluation method of sports bracelet monitoring based on grey comprehensive clustering
Abstract:
In order to improve the accuracy and timeliness of evaluation results, this paper designed an accuracy evaluation method of sports bracelet monitoring based on grey comprehensive clustering. Firstly, the iterative algorithm is used to process the sports bracelet data to avoid the loss or abnormality of data affecting the quality of evaluation results and evaluation time. Then, a fuzzy comprehensive evaluation model is established to reflect the prominent influence of different evaluation indexes, and the relative membership degree of evaluation indexes is calculated. Finally, grey comprehensive clustering algorithm is used to optimise the fuzzy comprehensive evaluation model to complete the evaluation of the monitoring accuracy of the sports bracelet. Experimental results show that the maximum accuracy of this method can reach 83%, the minimum time is only 0.8 s, and the amount of data effectively processed reaches more than 1600 MB, which proves that the design expectation is effectively realised.
Journal: Int. J. of Product Development
Pages: 230-241
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: grey comprehensive clustering; sports bracelet; monitoring accuracy; monitoring data; relative membership.
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Handle: RePEc:ids:ijpdev:v:26:y:2022:i:1/2/3/4:p:230-241

Template-Type: ReDIF-Article 1.0
Author-Name: Honggang Zheng
Author-X-Name-First: Honggang
Author-X-Name-Last: Zheng
Title: Fingertip positioning and tracking method of intelligent moving bracelet based on improved Kalman filter
Abstract:
In order to overcome the problems of poor positioning accuracy and low tracking accuracy of traditional methods, this paper proposes an intelligent motion bracelet fingertip positioning and tracking method based on improved Kalman filter. Firstly, the bracelet signal filtering is realised by the least square method; the Z-score method is used to normalise the sensor pressure data to realise data pre-processing; then, the rigid structure model of human hand bone is constructed, the posture of human hand is reconstructed, the coordinate system of human upper arm is obtained, and the positioning ability of fingertip is improved. Finally, the RSSI signal of fingertip is collected by sensor, and the improved Kalman filter is used to realise the positioning and tracking of fingertip of bracelet. The experimental results show that the positioning accuracy of this method is 97.9%, the tracking accuracy is 97.6%, and the fingertip positioning and tracking effect is good.
Journal: Int. J. of Product Development
Pages: 242-253
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: KNN algorithm; Z-score method; low pass filter; least square method.
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Template-Type: ReDIF-Article 1.0
Author-Name: Chun-Ling Liu
Author-X-Name-First: Chun-Ling
Author-X-Name-Last: Liu
Author-Name: Chun-Bao Huo
Author-X-Name-First: Chun-Bao
Author-X-Name-Last: Huo
Title: Intelligent wristband human abnormal behaviour recognition method based on machine vision
Abstract:
In order to overcome the problems of low recognition accuracy and high-recall rate of traditional methods, an intelligent wristband human abnormal behaviour recognition method based on machine vision is proposed. Firstly, the human behaviour video in the smart wristband is obtained through intensive sampling, and the image feature descriptor is obtained according to regularisation processing; the human abnormal behaviour features are extracted by DT algorithm; secondly, softmax classifier is introduced to classify the extracted human abnormal line features of intelligent wristband; the dense trajectory algorithm is used to extract the abnormal behaviour characteristics of intelligent wristband human body, and the machine vision is introduced to recognise the abnormal behaviour of intelligent wristband human body. The experimental results show that the recognition accuracy of this method is as high as 98.2%, and the recognition recall rate is only 4%, which shows that this method can effectively improve the recognition effect.
Journal: Int. J. of Product Development
Pages: 254-267
Issue: 1/2/3/4
Volume: 26
Year: 2022
Keywords: smartband; machine vision; softmax classifier; abnormal behaviour; weighted processing method.
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Handle: RePEc:ids:ijpdev:v:26:y:2022:i:1/2/3/4:p:254-267