Sitsen: Passive sitting posture sensing based on wireless devices
Physical health diseases caused by wrong sitting postures are becoming increasingly serious and widespread, especially for sedentary students and workers. Existing video-based approaches and sensor-based approaches can achieve high accuracy, while they have limitations like breaching privacy and rel...
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Series: | International Journal of Distributed Sensor Networks |
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doaj-7aeb7abadc7b4511a12f3bab6c6992cf2021-07-07T23:33:19ZengSAGE PublishingInternational Journal of Distributed Sensor Networks1550-14772021-07-011710.1177/15501477211024846Sitsen: Passive sitting posture sensing based on wireless devicesMiaoyu Li0Zhuohan Jiang1Yutong Liu2Shuheng Chen3Marcin Wozniak4Rafal Scherer5Robertas Damasevicius6Wei Wei7Ziyi Li8Zuxin Li9School of Information Science and Technology, Northwest University, Xi’an, People’s Republic of ChinaSchool of Information Science and Technology, Northwest University, Xi’an, People’s Republic of ChinaSchool of Information Science and Technology, Northwest University, Xi’an, People’s Republic of ChinaSchool of Information Science and Technology, Northwest University, Xi’an, People’s Republic of ChinaFaculty of Applied Mathematics, Silesian University of Technology, Gliwice, PolandCzestochowa University of Technology, Czestochowa, PolandFaculty of Informatics, Multimedia Engineering Department, Kaunas University of Technology, Kaunas, LithuaniaShaanxi Key Laboratory for Network Computing and Security Technology, School of Computer Science and Engineering, Xi’an University of Technology, Xi’an, People’s Republic of ChinaSchool of Information Science and Technology, Northwest University, Xi’an, People’s Republic of ChinaSchool of Engineering, Huzhou University, Huzhou, People’s Republic of ChinaPhysical health diseases caused by wrong sitting postures are becoming increasingly serious and widespread, especially for sedentary students and workers. Existing video-based approaches and sensor-based approaches can achieve high accuracy, while they have limitations like breaching privacy and relying on specific sensor devices. In this work, we propose Sitsen, a non-contact wireless-based sitting posture recognition system, just using radio frequency signals alone, which neither compromises the privacy nor requires using various specific sensors. We demonstrate that Sitsen can successfully recognize five habitual sitting postures with just one lightweight and low-cost radio frequency identification tag. The intuition is that different postures induce different phase variations. Due to the received phase readings are corrupted by the environmental noise and hardware imperfection, we employ series of signal processing schemes to obtain clean phase readings. Using the sliding window approach to extract effective features of the measured phase sequences and employing an appropriate machine learning algorithm, Sitsen can achieve robust and high performance. Extensive experiments are conducted in an office with 10 volunteers. The result shows that our system can recognize different sitting postures with an average accuracy of 97.02%.https://doi.org/10.1177/15501477211024846 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Miaoyu Li Zhuohan Jiang Yutong Liu Shuheng Chen Marcin Wozniak Rafal Scherer Robertas Damasevicius Wei Wei Ziyi Li Zuxin Li |
spellingShingle |
Miaoyu Li Zhuohan Jiang Yutong Liu Shuheng Chen Marcin Wozniak Rafal Scherer Robertas Damasevicius Wei Wei Ziyi Li Zuxin Li Sitsen: Passive sitting posture sensing based on wireless devices International Journal of Distributed Sensor Networks |
author_facet |
Miaoyu Li Zhuohan Jiang Yutong Liu Shuheng Chen Marcin Wozniak Rafal Scherer Robertas Damasevicius Wei Wei Ziyi Li Zuxin Li |
author_sort |
Miaoyu Li |
title |
Sitsen: Passive sitting posture sensing based on wireless devices |
title_short |
Sitsen: Passive sitting posture sensing based on wireless devices |
title_full |
Sitsen: Passive sitting posture sensing based on wireless devices |
title_fullStr |
Sitsen: Passive sitting posture sensing based on wireless devices |
title_full_unstemmed |
Sitsen: Passive sitting posture sensing based on wireless devices |
title_sort |
sitsen: passive sitting posture sensing based on wireless devices |
publisher |
SAGE Publishing |
series |
International Journal of Distributed Sensor Networks |
issn |
1550-1477 |
publishDate |
2021-07-01 |
description |
Physical health diseases caused by wrong sitting postures are becoming increasingly serious and widespread, especially for sedentary students and workers. Existing video-based approaches and sensor-based approaches can achieve high accuracy, while they have limitations like breaching privacy and relying on specific sensor devices. In this work, we propose Sitsen, a non-contact wireless-based sitting posture recognition system, just using radio frequency signals alone, which neither compromises the privacy nor requires using various specific sensors. We demonstrate that Sitsen can successfully recognize five habitual sitting postures with just one lightweight and low-cost radio frequency identification tag. The intuition is that different postures induce different phase variations. Due to the received phase readings are corrupted by the environmental noise and hardware imperfection, we employ series of signal processing schemes to obtain clean phase readings. Using the sliding window approach to extract effective features of the measured phase sequences and employing an appropriate machine learning algorithm, Sitsen can achieve robust and high performance. Extensive experiments are conducted in an office with 10 volunteers. The result shows that our system can recognize different sitting postures with an average accuracy of 97.02%. |
url |
https://doi.org/10.1177/15501477211024846 |
work_keys_str_mv |
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