WiMonitor: Continuous Long-Term Human Vitality Monitoring Using Commodity Wi-Fi Devices
| Autor: | Shengjie Li, Yue Zhang, Cagri Tanriover, Xiaopeng Niu, Hong Lu, Zhaopeng Liu, Rahul C. Shah, Dan Wu, Daqing Zhang |
|---|---|
| Přispěvatelé: | School of Electronics Engineering and Computer Science [Beijing] (EECS), Peking University [Beijing], Intel Corporation, Santa Clara CA, Intel Corporation [USA], Intel Corporation [Hillsboro], Institut Polytechnique de Paris (IP Paris), Département Réseaux et Services Multimédia Mobiles (RS2M), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP), Algorithmes, Composants, Modèles Et Services pour l'informatique répartie (ACMES-SAMOVAR), Services répartis, Architectures, MOdélisation, Validation, Administration des Réseaux (SAMOVAR), Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP)-Institut Mines-Télécom [Paris] (IMT)-Télécom SudParis (TSP) |
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Male
Computer science media_common.quotation_subject Commodity Elderly care long-term human vitality 02 engineering and technology lcsh:Chemical technology Computer security computer.software_genre Vitality Biochemistry Article Analytical Chemistry Motion 020204 information systems Health care 0202 electrical engineering electronic engineering information engineering Humans lcsh:TP1-1185 Quality (business) [INFO]Computer Science [cs] Electrical and Electronic Engineering Instrumentation Wi-Fi Aged Monitoring Physiologic media_common device-free Home environment business.industry elderly care Continuous monitoring 020206 networking & telecommunications social sciences Atomic and Molecular Physics and Optics humanities 3. Good health Term (time) business Wireless Technology computer |
| Zdroj: | Sensors Volume 21 Issue 3 Sensors, MDPI, 2021, 21 (3), pp.751:1-751:28. ⟨10.3390/s21030751⟩ Sensors (Basel, Switzerland) Sensors, Vol 21, Iss 751, p 751 (2021) |
| ISSN: | 1424-8220 |
| DOI: | 10.3390/s21030751 |
| Popis: | For a large population of elderly who live alone, a continuous long-term daily monitoring system is critical and imminently needed to enhance the quality of their lives. Continuous monitoring of vitality information (i.e., which area the elder is staying in, the motion state and activity intensity of an elder) is essential for elderly care. In this paper, we use existing commodity Wi-Fi devices to design and implement a long-term device-free human daily vitality system, WiMonitor. Our system can continuously capture the target&rsquo s vitality information in a multi-room home environment without compromising the privacy of the target. In a continuous 22-day experiment, WiMonitor successfully captures the human vitality information accurately. We believe our system can provide valuable long-term monitoring data for both researchers and health care personnel. |
| Databáze: | OpenAIRE |
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