摘要
Wi-Fi-based human motion sensing is characterized by its contactless, passive, and privacy-preserving nature, making it an ideal solution for home-based monitoring of motor function in patients with Parkinson’s disease. This study proposed a Wi-Fi sensing method that leverages a pair of commodity Wi-Fi devices to quantitatively assess hand movements in a daily-living environment. The results demonstrated the potential to accurately measure motion parameters associated with finger tapping and simulated hand rest tremor.
| 原文 | English |
|---|---|
| 主出版物標題 | 2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024 |
| 發行者 | Institute of Electrical and Electronics Engineers Inc. |
| ISBN（電子） | 9798350350548 |
| DOIs | |
| 出版狀態 | Published - 2024 |
| 事件 | 2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024 - Nara, Japan 持續時間: 2024 11月 18 → 2024 11月 20 |
出版系列
| 名字 | 2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024 |
|---|
Conference
| Conference | 2024 IEEE International Conference on E-Health Networking, Application and Services, HealthCom 2024 |
|---|---|
| 國家/地區 | Japan |
| 城市 | Nara |
| 期間 | 24-11-18 → 24-11-20 |
All Science Journal Classification (ASJC) codes
- 人工智慧
- 電腦網路與通信
- 電腦科學應用
- 控制和優化
- 健康資訊學
- 健康（社會科學）
UN SDG
此研究成果有助於以下永續發展目標
