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Title |
Automatic Gesture Recognition for Human-Machine Interaction: An Overview |
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Author |
Konkina Nataliia |
| Citation |
Vol. 22 No. 1 pp. 129-138 |
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Abstract |
With the increasing reliance of computing systems in our everyday life, there is always a constant need to improve the ways users can interact with such systems in a more natural, effective, and convenient way. In the initial computing revolution, the interaction between the humans and machines have been limited. The machines were not necessarily meant to be intelligent. This begged for the need to develop systems that could automatically identify and interpret our actions. Automatic gesture recognition is one of the popular methods users can control systems with their gestures. This includes various kinds of tracking including the whole body, hands, head, face, etc. We also touch upon a different line of work including Brain-Computer Interface (BCI), Electromyography (EMG) as potential additions to the gesture recognition regime. In this work, we present an overview of several applications of automated gesture recognition systems and a brief look at the popular methods employed. |
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Keywords |
Human-Machine Interaction, Gesture Recognition Systems, Hand Tracking, Activity Recognition, Brain Computer Interface (BCI) |
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