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mmWave-based Activity Recognition
Overview of Our Research
Collaborators
Our research aims to understand the concepts of mmWaves and apply this phenomena to detect human activities. Human activities, such as gestures, facilitate many applications such as gesture control, health care, and/or fitness tracking. We plan to use the AWR-1642BOOST radar sensor, DCA1000EVM data capture card, and the mmWaveStudio software application, which is all provided by Texas Instruments.
Soo Min Kwon Rutgers University ECE Department
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Shreya Patel Rutgers University ECE Department
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Christine Mathews Rutgers University ECE Department
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Wesam Saleh Rutgers University (Rising Freshman)
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Allen Zhang Montgomery High School
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