Control model of community elderly recreational exercise assistive robot based on improved dense trajectory algorithm
As the number of elderly population in the community grows, more efficient and precise recreation and exercise aids are needed to safeguard their quality of life. The study proposes a control model based on an improved dense trajectory algorithm to enhance the recognition and response capabilities o...
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| Format: | Article |
| Language: | English |
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Elsevier
2024-12-01
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| Series: | Systems and Soft Computing |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S277294192400084X |
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| _version_ | 1850132259081814016 |
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| author | Ruisheng Jiao Haibin Wang Juan Luo |
| author_facet | Ruisheng Jiao Haibin Wang Juan Luo |
| author_sort | Ruisheng Jiao |
| collection | DOAJ |
| description | As the number of elderly population in the community grows, more efficient and precise recreation and exercise aids are needed to safeguard their quality of life. The study proposes a control model based on an improved dense trajectory algorithm to enhance the recognition and response capabilities of recreation and exercise assistance robots. The main method of the model is to improve the dense trajectory algorithm to enhance its recognition speed and accuracy for complex and small movements. Specifically, the study deeply refined the control process of a health and exercise assisted robot, and combined action capture to construct a health and exercise assisted robot model. The control model of the health and exercise assisted robot was optimized using an improved dense algorithm. The improved dense trajectory algorithm has feature embedding and attention mechanism, which can supplement the input data of the model, thus enabling more accurate action recognition. The results show that among the five samples, the recreation effectiveness score of the experimental group averaged 8.9, which was significantly higher than that of the control group, which was 7.3. The recognition accuracy has been improved by 2.7 % and 3.9 %, respectively, effectively suppressing the influence of camera motion. After using the improved dense trajectory algorithm, the fitness of the health training assistant robot reached 96.25 % under the same processing time, which is 8.93 % higher than the traditional model's fitness of 87.32 %. In summary, the control model of a community elderly health exercise assistance robot based on improved dense trajectory algorithm has achieved more accurate and faster recognition and response to the actions of the elderly, providing a more efficient technical means for health exercise and improving the health effect of the elderly. |
| format | Article |
| id | doaj-art-39211b8147914282b48790016a5fe8fa |
| institution | OA Journals |
| issn | 2772-9419 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Systems and Soft Computing |
| spelling | doaj-art-39211b8147914282b48790016a5fe8fa2025-08-20T02:32:15ZengElsevierSystems and Soft Computing2772-94192024-12-01620015510.1016/j.sasc.2024.200155Control model of community elderly recreational exercise assistive robot based on improved dense trajectory algorithmRuisheng Jiao0Haibin Wang1Juan Luo2College of Physical Education, Chizhou University, Chizhou 247000, China; Corresponding author.College of Physical Education, Chizhou University, Chizhou 247000, ChinaCollege of Foreign Languages, Chizhou University, Chizhou 247000, ChinaAs the number of elderly population in the community grows, more efficient and precise recreation and exercise aids are needed to safeguard their quality of life. The study proposes a control model based on an improved dense trajectory algorithm to enhance the recognition and response capabilities of recreation and exercise assistance robots. The main method of the model is to improve the dense trajectory algorithm to enhance its recognition speed and accuracy for complex and small movements. Specifically, the study deeply refined the control process of a health and exercise assisted robot, and combined action capture to construct a health and exercise assisted robot model. The control model of the health and exercise assisted robot was optimized using an improved dense algorithm. The improved dense trajectory algorithm has feature embedding and attention mechanism, which can supplement the input data of the model, thus enabling more accurate action recognition. The results show that among the five samples, the recreation effectiveness score of the experimental group averaged 8.9, which was significantly higher than that of the control group, which was 7.3. The recognition accuracy has been improved by 2.7 % and 3.9 %, respectively, effectively suppressing the influence of camera motion. After using the improved dense trajectory algorithm, the fitness of the health training assistant robot reached 96.25 % under the same processing time, which is 8.93 % higher than the traditional model's fitness of 87.32 %. In summary, the control model of a community elderly health exercise assistance robot based on improved dense trajectory algorithm has achieved more accurate and faster recognition and response to the actions of the elderly, providing a more efficient technical means for health exercise and improving the health effect of the elderly.http://www.sciencedirect.com/science/article/pii/S277294192400084XImproved dense trajectory algorithmAgingRecreational exerciseAssistive roboticsHealth monitoring |
| spellingShingle | Ruisheng Jiao Haibin Wang Juan Luo Control model of community elderly recreational exercise assistive robot based on improved dense trajectory algorithm Systems and Soft Computing Improved dense trajectory algorithm Aging Recreational exercise Assistive robotics Health monitoring |
| title | Control model of community elderly recreational exercise assistive robot based on improved dense trajectory algorithm |
| title_full | Control model of community elderly recreational exercise assistive robot based on improved dense trajectory algorithm |
| title_fullStr | Control model of community elderly recreational exercise assistive robot based on improved dense trajectory algorithm |
| title_full_unstemmed | Control model of community elderly recreational exercise assistive robot based on improved dense trajectory algorithm |
| title_short | Control model of community elderly recreational exercise assistive robot based on improved dense trajectory algorithm |
| title_sort | control model of community elderly recreational exercise assistive robot based on improved dense trajectory algorithm |
| topic | Improved dense trajectory algorithm Aging Recreational exercise Assistive robotics Health monitoring |
| url | http://www.sciencedirect.com/science/article/pii/S277294192400084X |
| work_keys_str_mv | AT ruishengjiao controlmodelofcommunityelderlyrecreationalexerciseassistiverobotbasedonimproveddensetrajectoryalgorithm AT haibinwang controlmodelofcommunityelderlyrecreationalexerciseassistiverobotbasedonimproveddensetrajectoryalgorithm AT juanluo controlmodelofcommunityelderlyrecreationalexerciseassistiverobotbasedonimproveddensetrajectoryalgorithm |