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| Content Provider | ACM Digital Library |
|---|---|
| Author | Yetkin, Oguz Popa, Dan O. Cremer, Sven Sanford, Joe |
| Abstract | In this paper, we present a novel system to drive a robotic prosthetic hand through the measurement of intra-socket pressure, and gesture selection from the healthy hand. A prototype HRI interface was implemented and used to compare the proposed method with standard state of practice. Grip-selection was made using finger pinch-gestures, was shown to have adequate functionality to provide a user with on-the-fly grip determination and functionality consistent with commercial systems. A moving average filter acting as a signal classifier was created to determine "open" vs "close" patterns sensed by the socket mounted piezo-resistive sensors. Sample windows were user defined as were thresholds used to determine the subject's intent. The subject was able to successfully switch between three predetermined grip configurations of a Touch Bionics i-Limb robotic hand and choose appropriate opening and closing actions. |
| Starting Page | 1 |
| Ending Page | 8 |
| Page Count | 8 |
| File Format | |
| ISBN | 9781450334525 |
| DOI | 10.1145/2769493.2775128 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-07-01 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Myoelectric prosthetic control Physical human robot interaction Human machine interface |
| Content Type | Text |
| Resource Type | Article |
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