{"title":"基于传感器的人体工程学坐垫,用于姿势检测和校正","authors":"Anshuman Shastri, Namrata Arora, Kavita Sagar","doi":"10.54941/ahfe1002841","DOIUrl":null,"url":null,"abstract":"Awkward postures are associated with a number of musculoskeletal\n disorders in almost all work sectors. Various studies have indicated the\n prevalence of awkward postures in different work setups and have provided\n ways to assess postural deviations and their unfavourable effects on general\n well being of the workers. The need of the hour is to have an aid that\n provides a means not only to assess the awkwardness of a posture, but also\n to correct it as soon as it is identified. The study, here, is designed to\n develop a solution for assessment and correction of the awkward posture as\n soon as it is attained. An ergonomic cushion is presented which is fitted\n with printed flex sensors to detect the awkward postures, considering lumbar\n curve, thoracic curve and cervical curve. A mobile application is used to\n configure the sensing range of the sensors. The application collects the\n data for the flex pressure sensors positioned at different points and warn\n the user to correct the posture. If not corrected within the stipulated\n time, the cushion automatically corrects the posture with the help of a\n microcontroller that expands or deflates the cushion as per postural\n requirement.","PeriodicalId":269162,"journal":{"name":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","volume":"6 8","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Sensor based ergonomic cushion for posture detection and correction\",\"authors\":\"Anshuman Shastri, Namrata Arora, Kavita Sagar\",\"doi\":\"10.54941/ahfe1002841\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Awkward postures are associated with a number of musculoskeletal\\n disorders in almost all work sectors. Various studies have indicated the\\n prevalence of awkward postures in different work setups and have provided\\n ways to assess postural deviations and their unfavourable effects on general\\n well being of the workers. The need of the hour is to have an aid that\\n provides a means not only to assess the awkwardness of a posture, but also\\n to correct it as soon as it is identified. The study, here, is designed to\\n develop a solution for assessment and correction of the awkward posture as\\n soon as it is attained. An ergonomic cushion is presented which is fitted\\n with printed flex sensors to detect the awkward postures, considering lumbar\\n curve, thoracic curve and cervical curve. A mobile application is used to\\n configure the sensing range of the sensors. The application collects the\\n data for the flex pressure sensors positioned at different points and warn\\n the user to correct the posture. If not corrected within the stipulated\\n time, the cushion automatically corrects the posture with the help of a\\n microcontroller that expands or deflates the cushion as per postural\\n requirement.\",\"PeriodicalId\":269162,\"journal\":{\"name\":\"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy\",\"volume\":\"6 8\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54941/ahfe1002841\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 6th International Conference on Intelligent Human Systems Integration (IHSI 2023) Integrating People and Intelligent Systems, February 22–24, 2023, Venice, Italy","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54941/ahfe1002841","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Sensor based ergonomic cushion for posture detection and correction
Awkward postures are associated with a number of musculoskeletal
disorders in almost all work sectors. Various studies have indicated the
prevalence of awkward postures in different work setups and have provided
ways to assess postural deviations and their unfavourable effects on general
well being of the workers. The need of the hour is to have an aid that
provides a means not only to assess the awkwardness of a posture, but also
to correct it as soon as it is identified. The study, here, is designed to
develop a solution for assessment and correction of the awkward posture as
soon as it is attained. An ergonomic cushion is presented which is fitted
with printed flex sensors to detect the awkward postures, considering lumbar
curve, thoracic curve and cervical curve. A mobile application is used to
configure the sensing range of the sensors. The application collects the
data for the flex pressure sensors positioned at different points and warn
the user to correct the posture. If not corrected within the stipulated
time, the cushion automatically corrects the posture with the help of a
microcontroller that expands or deflates the cushion as per postural
requirement.