Videos of Hand Trajectory Gestures From WristCam | IEEE DataPort

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
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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.

Instructions: 

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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

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File read_me.txt704 bytes