Hand Gesture Recognition Algorithm for Smart Cities based on Wireless Sensor

Authors

  • Thittaporn Ganokratanaa Chulalongkorn University
  • Suree Pumrin Chulalongkorn University

DOI:

https://doi.org/10.3991/ijoe.v13i06.7022

Keywords:

Hand gesture recognition, assistive technology, Rule-based, Vision-based

Abstract


The relationship between humans and computers is called human computer interaction (HCI). HCI is a major research topic in the area of assistive technology. In the field of medical assistive technology specifically, a hand gesture is considered a suitable method to convey information. It can help elderly people, who are unable to walk or speak, communicate with caregivers whenever they need help. This paper proposes a system to recognize the hand gestures of elderly people using an inexpensive Raspberry Pi. A vision-based algorithm is developed to detect and classify dynamic hand gestures in real time on the Raspberry Pi embedded platform. There are three main procedures; contour detection, convex extraction, and rule-based classification. The system can detect six different gestures on both hands in various orientations. The experiment showed good results in detecting and classifying their meanings as lingual descriptions.

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Published

2017-06-19

How to Cite

Ganokratanaa, T., & Pumrin, S. (2017). Hand Gesture Recognition Algorithm for Smart Cities based on Wireless Sensor. International Journal of Online and Biomedical Engineering (iJOE), 13(06), pp. 58–75. https://doi.org/10.3991/ijoe.v13i06.7022

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Section

Papers