Hand Gesture Recognition Algorithm for Smart Cities based on Wireless Sensor
DOI:
https://doi.org/10.3991/ijoe.v13i06.7022Keywords:
Hand gesture recognition, assistive technology, Rule-based, Vision-basedAbstract
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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