運用三軸加速度感測器於居家照顧系統

本論文使用建構於Zigbee內的三軸加速度感測器，偵測手勢，幫助老人或是病患的肢體表達，進而達到優良的看護結果。本論文應用一個建構於Zigbee內的三軸加速度感測器，並安裝於被看護者的慣用手手背上，來偵測使用者的手勢。接著，在被看護者需要執行溝通動作時，系統會啟動並經由三軸加速度感測器內偵測到的加速度數值進行運算，並在三維空間內形成一個移動軌跡；我們將此移動軌跡先經過一個我們自行設計的預處理器來進行換算，並與一個已經建構好的訓練系統進行配對，並使用最長共同子字串演算法(Longest Common Subsequence)篩選出最符合的字詞。最後，我們會展示我們的模擬結果。本系統的特點： (1) 易實行性：耗電性低、易於家庭環境內建構。 (2) 實用性：對於老人及表達不方便的人，能夠獨立與看護完成溝通。 (3) 區別性：我們的系統可以區別動作力度。 (4) 拓展性：對於更細部的動作辨識，例如手語偵測，本研究能夠提供裝置於手背的重力感測資訊

關鍵字

加速度感測器；居家照顧；手勢辨識

並列摘要

We use the Acceleration Sensor which is based on Zigbee in a Home-Care system, to detect hand gestures of the users. This can help the expression of senior citizens or patients to have a well conversation with care giver. At first, as our system model, we apply an Acceleration Sensor which is based on Zigbee, and set it up to the back of the handedness of the care recipient to get the hand gesture. Then, in the operation of this system, when they want to talk about something, the system will be started and detect the accelerator by the acceleration sensor. According to the calculation, a locus will take shape in the 3-axis coordinate. In addition, we use our own method to add a concept of strength to pre-process this signal and use an algorithm, Longest Common Subsequence, to pair it with a structured learning system to sift a suitable word out. Finally, we display the result of the simulation that may suit for care recipient. The contributions of our research are as follows: (1) Realizable: It has low power consumption, can easily realize in the home environment. (2) Practicable: This can help the senior citizens or the patients to speak to the care giver by themselves easily. (3) Differentiable: Our method can distinguish the strength of the action. (4) Expandable: To more delicate things, for example, sign languages, this thesis can give the data of the acceleration on the back of the hand.

並列關鍵字

Acceleration Sensor ； Hand Gesture ； Home Care

參考文獻

[3] Dishman E. 2004, Inventing Wellness Systems for Aging in Place, IEEE Computer, May 2004, pp.34-41

[5] CDC, 2005, Falls and Hip Fractures among Older Adults, http://www.cdc.gov/ncipc/factsheets/falls.htm

[7] Kenneth J. Turner Liam S. Docherty Feng Wang Gavin A. Campbell, Managing Home Care Networks, 2009 Eighth International Conference on Networks

[8] Yung-Hoh Sheu, Yu-Ping Dai, Duen- Shiang Fu, Embedded USB Homecare Internet System, 2010.

[9] Yun-Yu Chen, Yi-Min Tsai, and Liang-Gee Chen, Algorithm and implementation of multi-channel spike sorting using, 2011 IEEE

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運用三軸加速度感測器於居家照顧系統

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