An Energy Harvesting Wearable Ring Platform for Gesture Input on Surfaces

2. Problem • To interact with mobile devices on-the-go • Glasses, wrist band, watch not good • User have to practice • Environment limits • Too heavy processing, power hungry 2

3. Related work 3

4. Ring!! • Wearable • Detect finger motion on arbitrary surfaces • Transmit wirelessly • Identify 23 gestures • No explicit user training • Energy harvesting from NFC-enabled phone • 10 hr 2Hz interaction 4

5. Design 5

6. Gestures 6

7. Surface detection • Arbitrary, un-instrumented surfaces • Pressured-based touch detection • Audio-based motion detection 7

8. Surface detection - touch • Pressured-based • When touch or curl, stiffen and move laterally • Force sensing resistor on inner wall of ring • Consume less power 8

9. Surface detection - motion • Audio-based • Friction between fingers and surfaces • Function of finger motion speed, and properties of the surface • Noise • Use band-pass filter • They use common office paper 9

10. Gesture classification 10

11. Energy harvesting • 10mAh battery capacity • NFC-enabled phone • RFID is a type of NFC • Coil loop around ring band • Maximize the size • Position C best • Over 5% capacity is available 11

12. Evaluation • SVM • More data, more accurate 12

13. Future work • Wireless transmission no detect or recover from packet loss or error • Improve classification accuracy • Improve noise resilience • Larger variety of surfaces • Lack of feedback • Larger amount of training data 13

14. Question? 14

15. Thanks!:D 15

Hinweis der Redaktion

Other use mobile phone or Nintendo Wii Remote 重classification accuracy 我們重power consumption, perpetual availability 用加速器紅外線陀螺儀 camera…
在任何表面上:書桌椅子把手衣服… 不用拿下來就可以充電
Tap 4下進入active mode 判斷在寫還是在動 Immediate feedback
Scroll斜的模仿zoom in and out
可以在user指尖裝東西簡單的達到，但是這種方法不能長時間用
按或彎的時候，這個肌肉會用力但彎不會彎四下引起active mode
High pitched human voice還是有點難去掉noise error
用速度判斷soft or hard landing，落下前有沒有很快的減速 Hard->用touch duration判斷tap swipe Soft-> Scroll需要real time identification Stroke可以有時間選字 non real time Stroke in text entry area, 可能一筆畫很長”L” cons: 用surface作相對X Y軸，但過程中假設角度不會變加速器data 沒有yaw方向因為沒有陀螺儀，假設user motion都會和身體垂直，影響不大
因為想要戒指夠小所以沒辦法裝太大的電池電磁感應生電不能讓電量掉到5%以下，不到2.5V 作實驗:每2hr active 1~30min Last charging and unavailable fail, 4hr以後才會failure 75%以上
找feature看各種threshold怎麼切或取幾個feature per axis Landing acceleration, tap-swipe duration, stroke classifier Stroke圓的比直線準，因為斜的和直的容易搞混，user沒有訓練過 More data, more better

An Energy Harvesting Wearable Ring Platform for Gesture Input on Surfaces

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An Energy Harvesting Wearable Ring Platform for Gesture Input on Surfaces

Hinweis der Redaktion