Datasets
Standard Dataset
Videos of Hand Trajectory Gestures From WristCam
- Citation Author(s):
- Feiyu Chen, Honghao Lv, Zhibo Pang, Junhui Zhang, Huayong Yang, Geng Yang*
- Submitted by:
- Feiyu Chen
- Last updated:
- Thu, 11/08/2018 - 10:34
- DOI:
- 10.21227/H2RQ25
- Data Format:
- Links:
- License:
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- Keywords:
Abstract
The image displays four segments of gestures from our dataset.
(a) The video sequence of rotating the wrist down and up as a signal for starting a new gesture.
(b)–(d) Three gestures samples (the triangle, letter b, and letter Z) taken from three different subjects at three different scenes (sitting at a desk, standing indoors, and standing outdoors.). The trajectory of each gesture canbe recognized from the movement of the background objects.
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`Title: Videos of Hand Trajectory Gestures From WristCam
`Paper: WristCam: A Wearable Sensor for Hand Trajectory Gesture Recognition and Intelligent Human-Robot Interaction
`Authors: Feiyu Chen, Honghao Lv, Zhibo Pang, Junhui Zhang, Huayong Yang, Geng Yang*
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`The folder "Data_GestureVideos" contains 45 videos (5 subjects * 9 videos/subject). In each video, a subject performed the required 10 hand trajectory gestures one by one. Thus, there are 450 gesture samples in total.
`Each video is named as "SiVj.avi", where i=0~4 (five subjects) and j=0~8 (nine sets of experiment). The video has a frame rate of 12 frame/s.
Documentation
| Attachment | Size |
|---|---|
 read_me.txt | 704 bytes |
