Hand Gesture Recognition Algorithm for Smart Cities based on Wireless Sensor

Thittaporn Ganokratanaa, Suree Pumrin

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.

Keywords


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

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International Journal of Online and Biomedical Engineering (iJOE) – eISSN: 2626-8493
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