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Gesture and Posture Recognition by Using Deep Learning
Abstract
Sign language facilitates communication in the community with speaking and hearing problems. Those people communicate with one another using hand gestures and body movements. These techniques of human-computer interaction range from primary keyboard inputs to complex vision-based gesture detection systems. One of the fascinating HCI technologies is hand gesture recognition. The goal of gesture recognition is to construct a system to use as a communication medium in various applications. The application of gesture recognition has become popular in healthcare, robotics, etc. Posture recognition is deployed in several sectors, including medicine. Deep learning-based models are used to understand gesture and posture recognition results better. This chapter covers the challenges of gesture and posture recognition and how deep learning techniques are used to assist machines in overcoming these challenges more effectively. In addition, this chapter also discusses the applications in which gesture and posture recognition can be employed in detail.
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