可穿戴技術

可穿戴技術指貼近皮膚表面的小型智能（具有微控制器的）電子設備。它們能夠檢測、分析和傳輸與身體信號（例如生命體徵）或環境數據有關的信息。在某些情況下，可穿戴技術也可以為佩戴者提供生物反饋。^[1]^[2]^[3]

因為其中的電子設備、軟件、和傳感器等使物件能夠通過互聯網在無需人工干預的情況下與製造商，運營商等其他聯網設備交換數據^[4]，運動追蹤器等可穿戴設備也是物聯網技術的一個例子。

可穿戴技術具有多種隨着該領域的擴展而增長的應用。隨着智能手錶和運動追蹤器的普及，可穿戴技術也逐漸被納入到了消費電子產品之中。市場上流行的智能手錶，比如Apple Watch，都是可穿戴技術的例子。除了商業用途，可穿戴技術也可以被用於導航系統、先進紡織品和醫療保健當中。由於可穿戴技術經常涉及關鍵性的功能，其的可靠性和安全性必須提前經過嚴格的審查。 ^[5]

Android 智能手錶
世界上第一個面向消費者的智能戒指，由McLear/NFC Ring製造，2013年
Fitbit，一個現代可穿戴設備

參考文獻

^ Düking P, Achtzehn S, Holmberg HC, Sperlich B. Integrated Framework of Load Monitoring by a Combination of Smartphone Applications, Wearables and Point-of-Care Testing Provides Feedback that Allows Individual Responsive Adjustments to Activities of Daily Living. Sensors (Basel). 2018 May 19;18(5). PMID 29783763. doi:10.3390/s18051632
^ Düking P, Hotho A, Holmberg HC, Fuss FK, Sperlich B. Comparison of Non-Invasive Individual Monitoring of the Training and Health of Athletes with Commercially Available Wearable Technologies. Frontiers in physiology. 2016;7:71. PMID 27014077. doi:10.3389/fphys.2016.00071
^ John O'Donoghue, John Herbert. Data Management Within mHealth Environments: Patient Sensors, Mobile Devices, and Databases. J. Data and Information Quality. 1 October 2012, 4 (1): 5:1–5:20. doi:10.1145/2378016.2378021.
^ O'Donoghue, J., Herbert, J. and Sammon, D., 2008, June. Patient sensors: A data quality perspective. In International Conference on Smart Homes and Health Telematics (pp. 54–61). Springer, Berlin, Heidelberg, https://link.springer.com/chapter/10.1007/978-3-540-69916-3_7 （頁面存檔備份，存於互聯網檔案館）
^ Xing Liu, Tianyu Chen, Feng Qian, Zhixiu Guo, Felix Xiaozhu Lin, Xiaofeng Wang, Kai Chen. Characterizing Smartwatch Usage in the Wild. Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. MobiSys '17 (Niagara Falls, NY: ACM). 2017-06-16: 385–398 [2021-10-31]. ISBN 978-1-4503-4928-4. doi:10.1145/3081333.3081351. （原始內容存檔於2021-11-04）（英語）.

參見

可穿戴式智能產品

[1] Düking P, Achtzehn S, Holmberg HC, Sperlich B. Integrated Framework of Load Monitoring by a Combination of Smartphone Applications, Wearables and Point-of-Care Testing Provides Feedback that Allows Individual Responsive Adjustments to Activities of Daily Living. Sensors (Basel). 2018 May 19;18(5). PMID 29783763. doi:10.3390/s18051632

[:7-2] Düking P, Hotho A, Holmberg HC, Fuss FK, Sperlich B. Comparison of Non-Invasive Individual Monitoring of the Training and Health of Athletes with Commercially Available Wearable Technologies. Frontiers in physiology. 2016;7:71. PMID 27014077. doi:10.3389/fphys.2016.00071

[3] John O'Donoghue, John Herbert. Data Management Within mHealth Environments: Patient Sensors, Mobile Devices, and Databases. J. Data and Information Quality. 1 October 2012, 4 (1): 5:1–5:20. doi:10.1145/2378016.2378021.

[4] O'Donoghue, J., Herbert, J. and Sammon, D., 2008, June. Patient sensors: A data quality perspective. In International Conference on Smart Homes and Health Telematics (pp. 54–61). Springer, Berlin, Heidelberg, https://link.springer.com/chapter/10.1007/978-3-540-69916-3_7 （頁面存檔備份，存於互聯網檔案館）

[:1-5] Xing Liu, Tianyu Chen, Feng Qian, Zhixiu Guo, Felix Xiaozhu Lin, Xiaofeng Wang, Kai Chen. Characterizing Smartwatch Usage in the Wild. Proceedings of the 15th Annual International Conference on Mobile Systems, Applications, and Services. MobiSys '17 (Niagara Falls, NY: ACM). 2017-06-16: 385–398 [2021-10-31]. ISBN 978-1-4503-4928-4. doi:10.1145/3081333.3081351. （原始內容存檔於2021-11-04）（英語）.

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