Forthcoming and Online First Articles

International Journal of Product Development

International Journal of Product Development (IJPD)

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International Journal of Product Development (27 papers in press)

Regular Issues

  • Xtreme Design A new approach for virtual innovation   Order a copy of this article
    by Caroline Heins, Daniel Jarr, Cornelius Herstatt 
    Abstract: Existing research regarding innovation widely assumes physical, in-person exchange. This cannot be guaranteed during a global pandemic like COVID-19, where people must work remotely, and are limited to virtual collaboration. Our paper is based on an exploratory action research in a multinational corporate operating in the material handling industry. We present a case study combining innovation methods with remote delivery. The action research was conducted between March and July 2020, and resulted in a novel approach for virtual innovation, which we call the Xtreme Design method. It has two advantages over traditional innovation methods: teams can innovate in a virtual remote work environment, and it is fast and cost efficient. We present the model and its elements, as well as the set of practices designed to realize it. For practitioners, the paper provides evidence and insights about the use of Xtreme Design to support the implementation of virtual innovation processes.
    Keywords: INNOVATION; CASE STUDY; MANAGEMENT TOOL; VALUE; COVID-19; DESIGN THINKING; VIRTUAL INNOVATION.

Special Issue on: User Experience for Advanced Human-Computer Interaction

  • Real time information sharing model of product supply chain based on Internet of things   Order a copy of this article
    by Yanrong Wang, JinJin Chao, Ying Li 
    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 optimize 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%.
    Keywords: Internet of things technology; Product supply chain; Information real-time sharing; Model building; tamper proof; Difficulty control algorithm.

  • User Experience Evaluation of Intelligent Sports Bracelet Based on Multi-factor Fusion   Order a copy of this article
    by Wei Liu, Zhen Liu 
    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 0.62s.
    Keywords: Multi-factor fusion; Intelligent sports bracelet; User experience evaluation; Evaluation factor set; weighting.

  • Evaluation method of smart bracelet health monitoring accuracy based on multi-level data fusion   Order a copy of this article
    by Weicheng Ma, Yanfei Lv 
    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 realize 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 above80%, and the fusion error rate is always below 0.1%.
    Keywords: Multi-level data fusion; smart bracelet; health monitoring; accuracy evaluation.

  • Product 3D virtual display scene modeling based on augmented reality technology   Order a copy of this article
    by Heng Luo 
    Abstract: In order to overcome the problems of low precision and long time in traditional methods, a 3D virtual display scene modeling 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 synthesized 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 modeling accuracy of this method is kept at 95%, and the modeling time is only 4s.
    Keywords: Augmented reality technology; 3D virtual; display scene; 3D registration technology; anti perspective transformation method.

  • Fast fusion method of virtual image of product shape based on progressive fill line algorithm   Order a copy of this article
    by Yang Luo, Yan Wang 
    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 color. 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 realize 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 7ms.
    Keywords: Progressive fill line algorithm; time-varying illumination; product shape; virtual image; image fusion.

  • Study on spatial layout evaluation of game UI interface based on grey interval clustering   Order a copy of this article
    by Zuhui You 
    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 analyzes the relevant content of the game UI interface, integrates the interval gray degree and gray theory, 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 0.60min to 0.79min, 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.
    Keywords: Game UI interface; interface spatial layout; grey interval clustering; spatial layout evaluation.

  • Monitoring method of use frequency of sports electronic products based on non-uniform sampling   Order a copy of this article
    by Yujie Wei 
    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 3.0s-3.8s, 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.
    Keywords: Sports electronic products; frequency of product use; frequency monitoring; nonuniform sampling; average operator filter.

  • Visual communication method of graphic language in industrial product design   Order a copy of this article
    by Fang Wang, Huaxi Chen 
    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 analyze the unique selling points of products, and select graphic language elements, and then construct industrial product packaging graphic language and its scene, to realize 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.
    Keywords: Industrial products; Visual communication; Graphic Language; Qualitative analysis; Brainstormingrnrn.

  • Color difference detection method of product packaging based on local enhancement   Order a copy of this article
    by Hua Song 
    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 color difference detection based on local enhancement. The projection value of the color area block of the outer packaging is determined. The threshold segmentation method is used to detect the color difference of the outer packaging of the product. The difference pixels are extracted by local enhancement method to detect the color difference of the outer packaging. The results show that the average accuracy of the method is 98.6%, the time of color difference detection is only 6S, and the absolute error rate of color 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 color difference of outer packaging.
    Keywords: Binarization energy map; threshold segmentation method; local enhancement; feature extraction.

  • Adaptive adjustment method of intelligent industrial product dimension accuracy   Order a copy of this article
    by Keke Yang 
    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 is determined. By describing the grinding process of industrial products, the residual vector in the adjustment process is determined to realize the adaptive adjustment of intelligent product dimension accuracy. The experimental results show that the adjustment time is only 1.5s, 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-consuming of industrial product dimension adjustment.
    Keywords: CAR model; adjustment parameter; residual vector; correction factor.

  • Defect detection method of product appearance design based on visual communication model   Order a copy of this article
    by Tiesheng Liu 
    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 equalization are used to denoise and enhance the defect image of product appearance design. Gabor transform is used to extract the features of the preprocessed defect image. According to the extraction results, VR virtual reality reconstruction method is used to construct the visual inspection model of product appearance design defects, and the defect detection of product appearance design is realized. The simulation results show that the proposed method has better detection results and improves the detection efficiency. The shortest detection time is only 5s.
    Keywords: Visual communication; Appearance; Modeling design; defect detection; Integral projection method; Gabor transform.

  • Personalized recommendation of smart home products based on convolution neural network   Order a copy of this article
    by Xiaoyuan Luo, Jun Liu 
    Abstract: In order to solve the problems of high recommendation error and long recommendation time in traditional personalized recommendation methods for smart home products, a new personalized 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 personalized recommendation model of smart home products is constructed, and the convolution neural network is used to obtain the global optimal solution of the personalized recommendation model, so as to realize the personalized 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 15s.
    Keywords: Smart home products; personalized recommendation; product attributes; convolution neural network.

  • Product design difference perception model based on visual communication technology   Order a copy of this article
    by Yinyin Wang 
    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.
    Keywords: Visual communication technology; product appearance; appearance design; design difference perception model.

  • User Experience Measurement Methods of E-commerce Products Based on Cloud Model   Order a copy of this article
    by Ming Yang 
    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; Calculates the cloud drop expected value, expected entropy and super entropy in the cloud model, and transforms the e-commerce product user experience measurement index weight coefficient into normal cloud to realize the e-commerce product user experience degree Quantity. Though the results show the measure accuracy is about 98% , and the measurement time is less than 2 s.
    Keywords: Cloud model; E-commerce products; User experience; Weight coefficient; Fuzzy comprehensive metric.

Special Issue on: Recent Advances in Human-AI Interaction for Smart Products

  • A method for layout planning of product web UI visual interface based on clone selection algorithm   Order a copy of this article
    by Yanrong Wang, JinJin Chao, Xuemin Wang 
    Abstract: In order to overcome the problems of long time and low recall rate in traditional product webpage UI visual interface layout planning methods, the paper proposes a product webpage UI visual interface layout planning method based on clone selection algorithm. Define the clone selection algorithm and determine the population evolution process of the interface layout planning. Based on this, determine the operation operator of the visual interface layout planning clone selection algorithm, and design the web UI visual interface layout planning algorithm flow to realize the visual interface layout planning. The experimental results show that when the number of product interfaces is 100, the number of extreme points of the planning function is 103, the interface layout planning time is only 7s, and the data recall rate is as high as 96.5%. It can be shown that the method in this paper has a better visual interface layout planning effect.
    Keywords: Clonal selection algorithm; Layout optimization; Local optimization; Visual interface.

  • Gesture interactive recognition method of moving equipment based on Virtual Reality Technology   Order a copy of this article
    by Yang Shen 
    Abstract: The existing interactive recognition methods for gesture recognition of moving equipment have poor recognition effect and low recognition accuracy, which lead to some limitations of gesture interactive recognition. Therefore, a gesture interactive recognition method for moving equipment based on virtual reality technology is proposed. Firstly, we collect and divide the hand gesture features of sports equipment, analyze the common hand gesture categories of sports equipment, and use virtual reality technology to preprocess the hand gesture interactive recognition data of sports equipment. After preprocessing, we complete the hand gesture interactive recognition of sports equipment based on virtual reality technology. The experimental results show that the accuracy of gesture recognition is more than 95%, and that of complex gesture recognition is more than 93%. Compared with the existing gesture recognition methods, this method has higher effectiveness and recognition accuracy, which fully meets the research requirements.
    Keywords: virtual reality; sports equipment; gesture interaction; gesture recognition;.

  • Gesture Recognition Method for Wearable Sports Devices Based on Sparse Representation   Order a copy of this article
    by Yuzhou Gao, Guoquan Ma 
    Abstract: In order to effectively solve the shortcomings of traditional gesture recognition methods for sports devices, such as high error rate and long recognition time, this paper designs a gesture recognition method for wearable sports devices based on sparse representation. A gesture model was constructed according to the gesture features of wearable sports devices, and the standard characteristic quantities of gestures were obtained. A sensor is then used to quickly collect a sample of the gesture. The sparse coefficient is obtained. Gestures were classified and processed according to the minimum residual value and sparse coefficient, so as to obtain accurate gesture recognition results of wearable sports devices. The simulation results show that the correct rate of gesture classification is always above 95.41%, the error rate of gesture recognition is always below 5.32%, and the recognition time is less than 0.8s, which proves that the method has achieved good practical application effect.
    Keywords: Sparse representation; Wearable sports devices; Gesture recognition; Characteristic; Classification process.

  • Fault data extraction of human-computer interaction interface for music electronic products based on improved second generation wavelet algorithm   Order a copy of this article
    by JunFang Liang, JiWu Li 
    Abstract: In order to solve the problems of low extraction accuracy and high time cost in human-computer interface fault data extraction, a method of human-computer interface fault data extraction for music electronic products based on improved second generation wavelet algorithm is proposed. The probability of data encounter in the human-computer interaction interface of adjacent music electronic products is calculated, and the interface data is collected with the help of probability distribution function; Judging by the function interval of data points; The similar fault data points are processed by sliding window to complete fault data similarity fusion; The second generation wavelet algorithm is improved by discrete wavelet transform. The energy distribution of fault data in different frequency bands is extracted, and the fault data is extracted in different scale space and wavelet subspace. The results show that the highest accuracy of fault data extraction is about 95%.
    Keywords: Improved Wavelet Algorithm for Generation 2; Music Electronics; Human-Computer Interface; Fault Data Extraction.

  • Human Gesture Interaction Recognition Algorithm Based on Augmented Reality in Smart Wristband Equipment   Order a copy of this article
    by Cuirong Zhao, Yan Chen 
    Abstract: In order to overcome the poor recognition effect of traditional gesture recognition methods, this paper proposes a human gesture interactive recognition algorithm based on augmented reality for intelligent wristband device. The moving window method is used to detect the human gesture change image, and the mean filter is used to smooth the gesture image. The human gesture features of smart wristband device are extracted by augmented reality technology, and the interactive recognition model of human gesture of smart wristband device is constructed. The virtual real synthesis technology is used to synthesize the real scene image and the virtual position according to the obtained spatial coordinates, Complete the human gesture interactive recognition of intelligent wristband device. Simulation results show that the recognition accuracy of the proposed method can reach 99.9%, and the recognition efficiency is significantly improved.
    Keywords: Augmented Reality; Smart wristband device; Human gestures; Interactive recognition.

  • User experience evaluation method of sports product based on genetic algorithm   Order a copy of this article
    by Dong Wang, Xia Liu, Jun Zhuang 
    Abstract: Aiming at the low evaluation accuracy and long evaluation time of traditional sports product user experience evaluation methods, a genetic algorithm-based sports product user experience evaluation method is proposed. By constructing a sports product user experience evaluation index decision matrix, various experience evaluation indicators are obtained; the membership value of each experience evaluation index is calculated, and the numerical structure relationship of potential experience indicators is established; the largest characteristic root in the structure relationship is used as the potential experience indicator Establish different evaluation attribute matrices, calculate attribute parameter weights, construct evaluation models, output initial evaluation results, use genetic algorithm to optimize the initial evaluation results, establish objective optimization functions, and obtain the optimization results of objective functions, which is the final Evaluation results. The simulation results show that the proposed method has higher accuracy in evaluating the user experience of sports products, and the evaluation time is shorter.
    Keywords: Genetic algorithm; Sports products; User experience; evaluation model.

  • Design of virtual reality cycling intelligent interaction system based on VR technology   Order a copy of this article
    by Xin Jiang 
    Abstract: Aiming at the problems of small touch sensing range of user interface, low user satisfaction and long system response time existing in the existing intelligent interactive system, this paper designs an intelligent interactive system of virtual reality bicycle riding based on VR technology. The user interface and image filter of the system hardware are optimized to realize 3D virtual modeling of cycling. On this basis, VR virtual technology is introduced to effectively integrate constraint factors of interactive components, so as to improve the authenticity of outdoor cycling simulation and realize intelligent interaction. The experimental results show that the touch sensing range of the studied system is between 145-185nm2, the user satisfaction tends to 1 infinitely, and the response time is less than 2.3s, indicating that the system has good intelligent interaction.
    Keywords: VR technology; Virtual reality; Cycling; Interactive systems.

  • Design of human-computer interaction display terminal system for intelligent home products based on color vision analysis   Order a copy of this article
    by Wenjuan Liu 
    Abstract: Aiming at the traditional smart home product display terminal system ignoring the analysis of home color vision, resulting in the display terminal system having low human-computer interaction adaptability, long running time, and experience satisfaction checking, the paper designs a smart home product based on color vision analysis. Human-computer interaction display terminal system. Use the Internet of Things platform to design the overall architecture of the smart home system, and design the Internet of Things wireless communication chip to optimize the system hardware functions; use the color vision analysis method to extract the visual element characteristics of the smart home product display interface to complete the human-computer interactive display terminal system software design. Experimental results show that the human-computer interaction adaptability of the designed system is higher than 0.8, and the shortest response time is 0.25s, and the experience satisfaction is as high as 75%, which has good application advantages.
    Keywords: Color vision; Smart home; Human-computer interaction; Display terminal; Internet of things; Color sequence.

  • Research on layout optimization of human-computer interaction interface of electronic music products based on ERP technology   Order a copy of this article
    by Jing Han 
    Abstract: Aiming at the problems of low user satisfaction and long optimization time existing in traditional methods, an ERP based human-computer interaction interface layout optimization method for electronic music products was proposed. Using ERP technology to design the electronic music human-computer interaction interface layout optimization framework, with the support of the architecture using the G1 method to determine the human-computer interaction interface to the importance of the goal on the layout, combined with the judgment results are expected to achieve the optimal layout of visual attention allocation as the objective function, the layout of the building based on visual attention allocation optimization model, particle swarm optimization is used to solve the model and the layout optimization results are obtained. Experimental results show that only less than 0.3% of users are dissatisfied with the system, and the optimization time is less than 300ms, indicating high user satisfaction and short optimization time.
    Keywords: ERP technology; Electronic music products; human-computer interaction; Interface layout; Layout optimization.

  • An evaluation method for human-computer interaction interface of sports electronic products based on Naive Bayes algorithm   Order a copy of this article
    by Xiaolong Shi 
    Abstract: There are some problems in the evaluation method of human-computer interaction interface of sports electronic products, such as long evaluation time and relatively accurate evaluation of interactive interface. An evaluation method of human-computer interaction interface of sports electronic products based on Naive Bayes algorithm is proposed. Determined by Fisher method choice, sports man-machine interface evaluation index of electronic products, and through the MRMR method to product interface evaluation index data to eliminate redundant data, through comprehensive evaluation matrix to calculate weight of the man-machine interface evaluation index membership degree, with the help of naive bayes algorithm to calculate weight evaluation index of discrete, The comprehensive evaluation model of human-computer interaction interface is constructed to complete the evaluation of human-computer interaction interface of sports electronic products. Experimental results show that the shortest evaluation time of the proposed method is about 31 s, and the evaluation accuracy is always higher than 90%.
    Keywords: Simple Bayesian algorithm; Fisher selection; Redundant data; Comprehensive evaluation model.

  • Virtual display of intelligent human-computer interaction products based on attention matrix   Order a copy of this article
    by Lin Wang 
    Abstract: In order to solve the problems of low accuracy and poor effect of gesture recognition in traditional virtual display methods of intelligent human-computer interaction products, a virtual display method of intelligent human-computer interaction products based on attention matrix was proposed. Determine the NUI interaction mode, select the appropriate motion sensing interaction device Kinect, and use this device for gesture recognition. The information of intelligent human-computer interaction products such as gesture recognition results is saved through Array. The attention matrix of intelligent human-computer interaction products is established, the virtual display model of intelligent human-computer interaction products is constructed combined with the change of viewpoints, so as to realize the virtual display of products. Experimental results show that the accuracy of the proposed method can be maintained above 80% for difficult gesture recognition, and the accuracy of simple gesture recognition can reach 100%, and the virtual display effect of products is good.
    Keywords: Attention matrix; Intelligent human-computer interaction; Product virtual display; Somatosensory interactive equipment; Array.

  • Visual Perception Based Human-Computer Interaction Information Classification Method for Intelligent Products   Order a copy of this article
    by Liting Zhou, Xuan Li, Minmin Guo 
    Abstract: This paper proposes a new intelligent product human-computer interaction information classification method based on visual perception. Design smart product human-computer interaction information collection device to realize rapid and accurate collection of smart product human-computer interaction information, and fusion processing of the collected information. The ISA model is built according to the principle of visual perception, and the model is optimized by the gradient descent method. The optimized model is used to extract the information attribute characteristics, and the intelligent product human-computer interaction information classification is carried out according to the information attribute characteristics. The experimental results show that the accuracy of information classification of this method is always above 94.7%, and the average classification time is 0.53s, which verifies the superiority of the method.
    Keywords: visual perception; Intelligent products; Man-machine interaction; Information classification; ISA model.