articleIEEE Transactions on MultimediaFeb 25, 2013Closed access

Robust Part-Based Hand Gesture Recognition Using Kinect Sensor

Nanyang Technological University · Microsoft (United States)

Indexed incrossref

Abstract

The recently developed depth sensors, e.g., the Kinect sensor, have provided new opportunities for human-computer interaction (HCI). Although great progress has been made by leveraging the Kinect sensor, e.g., in human body tracking, face recognition and human action recognition, robust hand gesture recognition remains an open problem. Compared to the entire human body, the hand is a smaller object with more complex articulations and more easily affected by segmentation errors. It is thus a very challenging problem to recognize hand gestures. This paper focuses on building a robust part-based hand gesture recognition system using Kinect sensor. To handle the noisy hand shapes obtained from the Kinect sensor,…

Citation impact

754
total citations
FWCI
68.66
Percentile
100%
References
48
Citations per year

Authors

4

Topics & keywords

Keywords
  • Gesture
  • Computer science
  • Gesture recognition
  • Artificial intelligence
  • Computer vision
  • Metric (unit)
  • Robustness (evolution)
  • Segmentation
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