Dynamic Arm Orientation Detection During Body Motion as a Computer Interface: An Elegant Approach for a More Technological Age

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2016
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Haverford College. Department of Computer Science
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Thesis
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Award
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eng
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Open Access
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Abstract
Gestures serve an important role in human-computer interfaces, and advancing technology such as virtual and augmented reality makes 3-D gestures an increasingly important and powerful means of interaction. Robust gesture interaction depends upon reliable detection of arm position and hand gestures. Specifically, determining arm orientation, the position with respect to the user's overall body position as it changes, is important because comprehension of the intentions associated with many natural gestures depends upon recognition occurring from the user's frame of reference. Arm orientation is also important when differentiating different natural hand gestures using EMG signals. I will show how combining IMU data with simplifying assumptions based on an understanding of arm and body physiology and ergonomics can produce an effi cient and accurate real-time dynamic arm orientation detection system that works during typical body movement.
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