Low-Cost Sensor System Design for In-Home Physical Activity Tracking
An aging and more sedentary population requires interventions aimed at monitoring physical activity, particularly within the home. This research uses simulation, optimization, and regression analyses to assess the feasibility of using a small number of sensors to track movement and infer physical ac...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2016-01-01
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| Series: | IEEE Journal of Translational Engineering in Health and Medicine |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/7778204/ |
| _version_ | 1819168439313367040 |
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| author | Siddhartha Nambiar Alexander Nikolaev Melissa Greene Lora Cavuoto Ann Bisantz |
| author_facet | Siddhartha Nambiar Alexander Nikolaev Melissa Greene Lora Cavuoto Ann Bisantz |
| author_sort | Siddhartha Nambiar |
| collection | DOAJ |
| description | An aging and more sedentary population requires interventions aimed at monitoring physical activity, particularly within the home. This research uses simulation, optimization, and regression analyses to assess the feasibility of using a small number of sensors to track movement and infer physical activity levels of older adults. Based on activity data from the American Time Use Survey and assisted living apartment layouts, we determined that using three to four doorway sensors can be used to effectively capture a sufficient amount of movements in order to estimate activity. The research also identified preferred approaches for assigning sensor locations, evaluated the error magnitude inherent in the approach, and developed a methodology to identify which apartment layouts would be best suited for these technologies. |
| first_indexed | 2024-12-22T19:03:37Z |
| format | Article |
| id | doaj.art-ecce2efc6c0b46f2afe1c12af1041b1e |
| institution | Directory Open Access Journal |
| issn | 2168-2372 |
| language | English |
| last_indexed | 2024-12-22T19:03:37Z |
| publishDate | 2016-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Journal of Translational Engineering in Health and Medicine |
| spelling | doaj.art-ecce2efc6c0b46f2afe1c12af1041b1e2022-12-21T18:15:53ZengIEEEIEEE Journal of Translational Engineering in Health and Medicine2168-23722016-01-0141610.1109/JTEHM.2016.26209717778204Low-Cost Sensor System Design for In-Home Physical Activity TrackingSiddhartha Nambiar0https://orcid.org/0000-0003-1779-564XAlexander Nikolaev1Melissa Greene2Lora Cavuoto3Ann Bisantz4Department of Industrial Engineering, North Carolina State University, Raleigh, NC, USAUniversity at Buffalo, The State University of New York, Buffalo, NY, USADepartment of Design Science Engineering, University of Michigan, Ann Arbor, MI, USAUniversity at Buffalo, The State University of New York, Buffalo, NY, USAUniversity at Buffalo, The State University of New York, Buffalo, NY, USAAn aging and more sedentary population requires interventions aimed at monitoring physical activity, particularly within the home. This research uses simulation, optimization, and regression analyses to assess the feasibility of using a small number of sensors to track movement and infer physical activity levels of older adults. Based on activity data from the American Time Use Survey and assisted living apartment layouts, we determined that using three to four doorway sensors can be used to effectively capture a sufficient amount of movements in order to estimate activity. The research also identified preferred approaches for assigning sensor locations, evaluated the error magnitude inherent in the approach, and developed a methodology to identify which apartment layouts would be best suited for these technologies.https://ieeexplore.ieee.org/document/7778204/Biomedical monitoringsenior citizenssensorssmart homesgeriatricsgerontology |
| spellingShingle | Siddhartha Nambiar Alexander Nikolaev Melissa Greene Lora Cavuoto Ann Bisantz Low-Cost Sensor System Design for In-Home Physical Activity Tracking IEEE Journal of Translational Engineering in Health and Medicine Biomedical monitoring senior citizens sensors smart homes geriatrics gerontology |
| title | Low-Cost Sensor System Design for In-Home Physical Activity Tracking |
| title_full | Low-Cost Sensor System Design for In-Home Physical Activity Tracking |
| title_fullStr | Low-Cost Sensor System Design for In-Home Physical Activity Tracking |
| title_full_unstemmed | Low-Cost Sensor System Design for In-Home Physical Activity Tracking |
| title_short | Low-Cost Sensor System Design for In-Home Physical Activity Tracking |
| title_sort | low cost sensor system design for in home physical activity tracking |
| topic | Biomedical monitoring senior citizens sensors smart homes geriatrics gerontology |
| url | https://ieeexplore.ieee.org/document/7778204/ |
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