Pub Date : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042880
Yue Sun, Meixue Zeng, Yuyi Huang, Guangyu Yang, Long Chen
This article was based on the psychological impact of fangcang shelter hospital ambient lighting on patients. By one-way experimental design and paired samples t-test. Through research and comparative analysis, the demand for lighting design of fangcang shelter hospital interior space was analyzed. Understand the psychological state of patients in Fangcang shelter hospitals under different color temperature environments. Design a color temperature environment that was conducive to patient recovery treatment. There also provided some theoretical research data for research on hospital interior space lighting design in the future.
本文以芳草地避难所医院环境照明对患者的心理影响为研究对象。通过单因素实验设计和配对样本 t 检验。通过调研和对比分析，分析了防空洞医院室内空间照明设计的需求。了解不同色温环境下防空洞医院患者的心理状态。设计出有利于患者康复治疗的色温环境。也为今后医院室内空间照明设计的研究提供了一些理论研究资料。
{"title":"Research on Dynamic Lighting Design of Isolated Space in Fangcang Shelter Hospital","authors":"Yue Sun, Meixue Zeng, Yuyi Huang, Guangyu Yang, Long Chen","doi":"10.1109/ECICE55674.2022.10042880","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042880","url":null,"abstract":"This article was based on the psychological impact of fangcang shelter hospital ambient lighting on patients. By one-way experimental design and paired samples t-test. Through research and comparative analysis, the demand for lighting design of fangcang shelter hospital interior space was analyzed. Understand the psychological state of patients in Fangcang shelter hospitals under different color temperature environments. Design a color temperature environment that was conducive to patient recovery treatment. There also provided some theoretical research data for research on hospital interior space lighting design in the future.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"51 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130431136","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042938
Shing-Fung Hou, C. Kao, Chia-Yen Liu, Chih-Chi Hu, Chao-Yuan Cheng
Xhaul, a mobile transport network, is a critical lifeline in imminent global crises: the combination of the COVID-19 pandemic and geopolitical conflict. Not only did the Russia-Ukraine war cause a global energy crisis, but it also put more energy stress on the 5G Xhaul. It also shows that the sustainability of a country depends on the unbroken Xhaul. Meanwhile, the COVID-19 outbreak has triggered the largest human-virus war of this century. It needs the ubiquitous 5G Xhaul to monitor the spread of COVID-19. Once crises occur, turning them into opportunities often requires new ways of seeing, considering, and responding to the 5G Xhaul provisioning. Facing more unpredictable situations, Chunghwa Telecom (CHT), the largest service provider in Taiwan, embraces the challenges and proposes practical solutions. This study aims to discuss the new 5G Xhaul provisioning strategies to achieve sustainable development goals in this turbulent era.
{"title":"5G Xhaul Provisioning Strategies in Shadows of War and Pandemic","authors":"Shing-Fung Hou, C. Kao, Chia-Yen Liu, Chih-Chi Hu, Chao-Yuan Cheng","doi":"10.1109/ECICE55674.2022.10042938","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042938","url":null,"abstract":"Xhaul, a mobile transport network, is a critical lifeline in imminent global crises: the combination of the COVID-19 pandemic and geopolitical conflict. Not only did the Russia-Ukraine war cause a global energy crisis, but it also put more energy stress on the 5G Xhaul. It also shows that the sustainability of a country depends on the unbroken Xhaul. Meanwhile, the COVID-19 outbreak has triggered the largest human-virus war of this century. It needs the ubiquitous 5G Xhaul to monitor the spread of COVID-19. Once crises occur, turning them into opportunities often requires new ways of seeing, considering, and responding to the 5G Xhaul provisioning. Facing more unpredictable situations, Chunghwa Telecom (CHT), the largest service provider in Taiwan, embraces the challenges and proposes practical solutions. This study aims to discuss the new 5G Xhaul provisioning strategies to achieve sustainable development goals in this turbulent era.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126423821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042889
K. Hung, G. Man, John Kwok Tai Chui, D.H.K. Chow, B. Ling, S. Pun
Pupillary dynamics have been monitored in mobile health for clinical diagnosis and health evaluation. However, such signals captured in a mobile scenario would be susceptible to noise from the surrounding environment. Pupil size data also consist of missing data due to blinks. In addition to pupil size, researchers have suggested including multimodal information such as gaze and head movements for enhanced monitoring cognitive and neural activities. Multichannel signal processing is required for the simultaneous processing of these signals, while their mutual relations are exploited. This paper explores a novel multichannel signal processing technique, quaternion singular spectrum analysis (QSSA), for processing eye-movement data, which include pupil diameter and gaze positions. The performance based on real data is compared with traditional methods. This is a novel application of QSSA in processing eye movement data for mobile health.
{"title":"Quaternion Singular Spectrum Analysis of Pupillary Dynamics for Health Monitoring","authors":"K. Hung, G. Man, John Kwok Tai Chui, D.H.K. Chow, B. Ling, S. Pun","doi":"10.1109/ECICE55674.2022.10042889","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042889","url":null,"abstract":"Pupillary dynamics have been monitored in mobile health for clinical diagnosis and health evaluation. However, such signals captured in a mobile scenario would be susceptible to noise from the surrounding environment. Pupil size data also consist of missing data due to blinks. In addition to pupil size, researchers have suggested including multimodal information such as gaze and head movements for enhanced monitoring cognitive and neural activities. Multichannel signal processing is required for the simultaneous processing of these signals, while their mutual relations are exploited. This paper explores a novel multichannel signal processing technique, quaternion singular spectrum analysis (QSSA), for processing eye-movement data, which include pupil diameter and gaze positions. The performance based on real data is compared with traditional methods. This is a novel application of QSSA in processing eye movement data for mobile health.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"10 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113955184","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042915
Marcell Raffaello Hartanto, An-Yuan Chang
most manufacturers use the traditional linear economy because their designs are open cycles that maximize the use of resources to create products and dispose of unused materials. Its value of linear production is mass production and selling products which raises the problem of excessive usage of resources. The circular economy (CE) is a production with a non-linear model which involves leasing, recycling, repairing, and refurbishing used resources to reduce waste as minimum as possible. It has been widely acknowledged because of the opportunity for sustainable production and environmental protection. According to research, small and medium-sized enterprises (SMEs) account for a high proportion of environmental pollution. Even though SMEs can be profitable and grow economically, they still struggle with incentives and financial restrictions. CE will help SMEs to improve resource efficiency, create a competitive advantage, and penetrate new markets. This research aims to assess and identify the challenges and main reasons why manufacturers use a circular economy in small-medium enterprises. A questionnaire has been constructed by collecting factors from different references that will be delivered to experts to assess. Using the Fuzzy Delphi method, the elements to be selected or rejected are sorted and determined based on the questionnaire results. Furthermore, the DANP stands for the Decision Making and Trial Evaluation method (DEMATEL), picking the relationship between factors, and Analytic Network Process (ANP), giving weights on which barrier and driver factors that important. For the first questionnaire, it concluded that 15 out of 20 barrier factors and 13 out of 22 driver factors passed the threshold value that had been set. For the remaining factors, the second questionnaire can be constructed for the DANP method to determine the ranking for both elements. As the driver factor, business growth has the highest weight value, which will be the main reason for implementing the CE. The consumer perception of reusing components is CE’s most significant challenge for barrier factors.
{"title":"Barrier and Driver Factor of Circular Economy in Small-Medium Enterprises Using Fuzzy Delphi Method and DANP Method","authors":"Marcell Raffaello Hartanto, An-Yuan Chang","doi":"10.1109/ECICE55674.2022.10042915","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042915","url":null,"abstract":"most manufacturers use the traditional linear economy because their designs are open cycles that maximize the use of resources to create products and dispose of unused materials. Its value of linear production is mass production and selling products which raises the problem of excessive usage of resources. The circular economy (CE) is a production with a non-linear model which involves leasing, recycling, repairing, and refurbishing used resources to reduce waste as minimum as possible. It has been widely acknowledged because of the opportunity for sustainable production and environmental protection. According to research, small and medium-sized enterprises (SMEs) account for a high proportion of environmental pollution. Even though SMEs can be profitable and grow economically, they still struggle with incentives and financial restrictions. CE will help SMEs to improve resource efficiency, create a competitive advantage, and penetrate new markets. This research aims to assess and identify the challenges and main reasons why manufacturers use a circular economy in small-medium enterprises. A questionnaire has been constructed by collecting factors from different references that will be delivered to experts to assess. Using the Fuzzy Delphi method, the elements to be selected or rejected are sorted and determined based on the questionnaire results. Furthermore, the DANP stands for the Decision Making and Trial Evaluation method (DEMATEL), picking the relationship between factors, and Analytic Network Process (ANP), giving weights on which barrier and driver factors that important. For the first questionnaire, it concluded that 15 out of 20 barrier factors and 13 out of 22 driver factors passed the threshold value that had been set. For the remaining factors, the second questionnaire can be constructed for the DANP method to determine the ranking for both elements. As the driver factor, business growth has the highest weight value, which will be the main reason for implementing the CE. The consumer perception of reusing components is CE’s most significant challenge for barrier factors.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125220290","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042846
Maoning Jia, Puyang Li, Wenhui Zhang
The effective utilization of wave energy is one of the important means to solve the shortage ofresources. The dual hydraulic PTO floating system (floating system hereinafter), is an important device for converting wave energy. The system is mainly composed of an energy extraction system (PTO system), float, and vibrator. Under the action of wave energy, the floater and vibrator of the floating body system move relatively, which drives the PTO system to generate electricity. Many researchers have studied the motion characteristics ofa floating body system in a heave state and calculated the energy conversion characteristics accordingly. In practice, the floating body system heaves and pitches due to wave energy. We propose an improved motion simulation algorithm for the Double Floating Body System based on the original researchers. The improved motion simulation algorithm adds the floating body’s pitch motion state, considers the floating body’s motion under both heave and pitch, and further analyzes the power conversion characteristics based on the motion characteristics.
{"title":"Analysis and Research of Moving Simulation Improvement Algorithms Based on Two-body Floating System","authors":"Maoning Jia, Puyang Li, Wenhui Zhang","doi":"10.1109/ECICE55674.2022.10042846","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042846","url":null,"abstract":"The effective utilization of wave energy is one of the important means to solve the shortage ofresources. The dual hydraulic PTO floating system (floating system hereinafter), is an important device for converting wave energy. The system is mainly composed of an energy extraction system (PTO system), float, and vibrator. Under the action of wave energy, the floater and vibrator of the floating body system move relatively, which drives the PTO system to generate electricity. Many researchers have studied the motion characteristics ofa floating body system in a heave state and calculated the energy conversion characteristics accordingly. In practice, the floating body system heaves and pitches due to wave energy. We propose an improved motion simulation algorithm for the Double Floating Body System based on the original researchers. The improved motion simulation algorithm adds the floating body’s pitch motion state, considers the floating body’s motion under both heave and pitch, and further analyzes the power conversion characteristics based on the motion characteristics.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131260922","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042950
Wei Chen, Sheng-Chih Huang
Spatial modulation orthogonal frequency division multiplexing (SM-OFDM) is a promising transmission technique that combines spatial modulation (SM) with orthogonal frequency division multiplexing (OFDM). SMOFDM inherits from OFDM the ability to combat frequency selective fading channels and from SM the potential of achieving higher data rates without causing inter-antenna interference (IAI). However, like OFDM, SM-OFDM suffers from high outof-band (OOB) power leakage and thus causes strong interference to the adjacent band users. In the literature, the technique of N-continuous precoding has been applied to SMOFDM for reducing the OOB power. However, because the N continuous precoding technique introduces IAI to SM-OFDM systems, it degrades the error performance severely. To reduce the OOB power without causing IAI, this paper adopts the cancellation symbol insertion technique in SM-OFDM systems. Because the proposed SM-OFDM scheme can suppress OOB power effectively without introducing IAI, it achieves much better error performance than the N-continuous precoded SMOFDM while providing comparable OOB power reduction capability.
{"title":"Cancellation Symbol Insertion for Out-of-Band Power Reduction in SM-OFDM","authors":"Wei Chen, Sheng-Chih Huang","doi":"10.1109/ECICE55674.2022.10042950","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042950","url":null,"abstract":"Spatial modulation orthogonal frequency division multiplexing (SM-OFDM) is a promising transmission technique that combines spatial modulation (SM) with orthogonal frequency division multiplexing (OFDM). SMOFDM inherits from OFDM the ability to combat frequency selective fading channels and from SM the potential of achieving higher data rates without causing inter-antenna interference (IAI). However, like OFDM, SM-OFDM suffers from high outof-band (OOB) power leakage and thus causes strong interference to the adjacent band users. In the literature, the technique of N-continuous precoding has been applied to SMOFDM for reducing the OOB power. However, because the N continuous precoding technique introduces IAI to SM-OFDM systems, it degrades the error performance severely. To reduce the OOB power without causing IAI, this paper adopts the cancellation symbol insertion technique in SM-OFDM systems. Because the proposed SM-OFDM scheme can suppress OOB power effectively without introducing IAI, it achieves much better error performance than the N-continuous precoded SMOFDM while providing comparable OOB power reduction capability.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133735966","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042821
Singhen Suos, Lixiao Cong
The high voltage overhead transmission line system is one of the methods of delivering electric power at a high voltage of Electricity Du Cambodia (EDC) is the largest company in Cambodia’s location, which transmitted from one source to another distribution, especially over a long distance to the customers. In an electrical power system, compression dead end and jumper terminal is one of the most important pieces of equipment and play important roles in the transmission system high voltage as well. Moreover, a bad or loose connection can be made a hot spot for generating the thermal that affecting for transmitting power, for the survey thermal energy of electrical equipment that they can to observed and quantified as thermography by applying infrared imaging and measuring the camera techniques. This method of detecting heat output is known as infrared thermography (IRT). Infrared thermography is not only a cost-effective technology but also powerful diagnostic equipment for improving system efficiency and dependability, power quality, and worker safety, and preventing outages, expensive equipment failure, and line losses. Using the Neural Network (NN) in the comparison to the Linear Regression (LR) model. This paper regarded schedule working actual base on the history of transmission line reports of using IRT which was noted by EDC, and the input parameters were the weather factors, wind speed, duration of operation, and load on the line. The prediction accuracy of these two methodologies was calculated with the use of the mean absolute percentage error (MAPE), Mean Square Error (MSE), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). Based on the act result of the two models, the Neural Network (NN) model is better performance accuracy.
{"title":"Prediction the Thermal of Compression Dead-end and Jumper Terminal for Electrical Equipment Based on High Voltage Transmission Lines, Case Study of Electricity Du Cambodia (EDC)","authors":"Singhen Suos, Lixiao Cong","doi":"10.1109/ECICE55674.2022.10042821","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042821","url":null,"abstract":"The high voltage overhead transmission line system is one of the methods of delivering electric power at a high voltage of Electricity Du Cambodia (EDC) is the largest company in Cambodia’s location, which transmitted from one source to another distribution, especially over a long distance to the customers. In an electrical power system, compression dead end and jumper terminal is one of the most important pieces of equipment and play important roles in the transmission system high voltage as well. Moreover, a bad or loose connection can be made a hot spot for generating the thermal that affecting for transmitting power, for the survey thermal energy of electrical equipment that they can to observed and quantified as thermography by applying infrared imaging and measuring the camera techniques. This method of detecting heat output is known as infrared thermography (IRT). Infrared thermography is not only a cost-effective technology but also powerful diagnostic equipment for improving system efficiency and dependability, power quality, and worker safety, and preventing outages, expensive equipment failure, and line losses. Using the Neural Network (NN) in the comparison to the Linear Regression (LR) model. This paper regarded schedule working actual base on the history of transmission line reports of using IRT which was noted by EDC, and the input parameters were the weather factors, wind speed, duration of operation, and load on the line. The prediction accuracy of these two methodologies was calculated with the use of the mean absolute percentage error (MAPE), Mean Square Error (MSE), Root Mean Square Error (RMSE), and Mean Absolute Error (MAE). Based on the act result of the two models, the Neural Network (NN) model is better performance accuracy.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"9 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132560361","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042921
Yi Wang, Haoran Yang, Jun Wang
A series of sleep disorders such as insomnia and sleep apnea is common among the elderly. Currently, machine vision perception and contact perception monitoring are widely used. This study proposed a new system that is applied to home vital signs monitoring with commercial WiFi. The system uses commercial WiFi to perceive and identify sleep time segments through motion detection algorithms. The segments are divided into large and small-amplitude random motion states and filtered out into small-amplitude segments. Then, the CSI ratio model is used for instantaneous respiratory rate estimation. The CSI ratio model has an accuracy of over 97% and provides excellent real-time sleep safety monitoring, outperforming other popular solutions such as the maximum ratio combining technology.
{"title":"Analysis and Research on Performance of Sleep Safety Monitoring System Based on WiFi Sensing","authors":"Yi Wang, Haoran Yang, Jun Wang","doi":"10.1109/ECICE55674.2022.10042921","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042921","url":null,"abstract":"A series of sleep disorders such as insomnia and sleep apnea is common among the elderly. Currently, machine vision perception and contact perception monitoring are widely used. This study proposed a new system that is applied to home vital signs monitoring with commercial WiFi. The system uses commercial WiFi to perceive and identify sleep time segments through motion detection algorithms. The segments are divided into large and small-amplitude random motion states and filtered out into small-amplitude segments. Then, the CSI ratio model is used for instantaneous respiratory rate estimation. The CSI ratio model has an accuracy of over 97% and provides excellent real-time sleep safety monitoring, outperforming other popular solutions such as the maximum ratio combining technology.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133935530","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2022-10-28DOI: 10.1109/ECICE55674.2022.10042854
Shigang Wang, Zhanglin Lai, Shuai Feng
In human action recognition, the way of collecting action data through video or photos is easily affected by factors such as perspective and light, and it is not easy to describe and extract features. To solve this problem, we researched human skeletal joint data and the use of the convolutional neural network (CNN). The joint data was converted into a PNG image by image coding. In addition, we proposed 3 descriptions of data arrangement order for grayscale image coding. Combined with 4 coding methods and RGB image coding, the coding scheme was expanded to 16 kinds, and used a CNN model with 9 layers structure to conduct comparative experiments on 16 kinds of coding schemes. Then, the influence of data arrangement order and coding methods was discussed based on action recognition results. The experimental results show that the “Zhi” font coding method under the data arrangement order Case 2 is easier to classify actions, and the accuracy of the test set is 96 %.
{"title":"Human Action Recognition Based on Image Coding and CNN","authors":"Shigang Wang, Zhanglin Lai, Shuai Feng","doi":"10.1109/ECICE55674.2022.10042854","DOIUrl":"https://doi.org/10.1109/ECICE55674.2022.10042854","url":null,"abstract":"In human action recognition, the way of collecting action data through video or photos is easily affected by factors such as perspective and light, and it is not easy to describe and extract features. To solve this problem, we researched human skeletal joint data and the use of the convolutional neural network (CNN). The joint data was converted into a PNG image by image coding. In addition, we proposed 3 descriptions of data arrangement order for grayscale image coding. Combined with 4 coding methods and RGB image coding, the coding scheme was expanded to 16 kinds, and used a CNN model with 9 layers structure to conduct comparative experiments on 16 kinds of coding schemes. Then, the influence of data arrangement order and coding methods was discussed based on action recognition results. The experimental results show that the “Zhi” font coding method under the data arrangement order Case 2 is easier to classify actions, and the accuracy of the test set is 96 %.","PeriodicalId":282635,"journal":{"name":"2022 IEEE 4th Eurasia Conference on IOT, Communication and Engineering (ECICE)","volume":"205 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2022-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114986092","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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