Abstract
A new type of wearable robot is developed for a disabled person with disabled limbs, that is, a person who cannot intentionally move his/her legs and arms. This robot can enable the disabled person to grip an object using eye movements. A gaze tracking algorithm is employed to detect pupil movements by which the person observes the object to be gripped. By using this gaze tracking 2D information, the object is identified and the distance to the object is measured using a Kinect device installed on the robot shoulder. By using several coordinate transformations and a matching scheme, the final 3D information about the object from the base frame can be clearly identified, and the final position data is transmitted to the DSP-controlled robot controller, which enables the target object to be gripped successfully.
| Original language | English |
|---|---|
| Pages (from-to) | 1219-1227 |
| Number of pages | 9 |
| Journal | Transactions of the Korean Society of Mechanical Engineers, A |
| Volume | 37 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 2013 |
Keywords
- 3D Position Identification
- Gaze Tracking
- Legs and Arms Disabled Person
- Wearable Robot
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