Development of a Chewing Motion Recognition Algorithm Using a Depth Camera and Markerless Motion Capture

Key Points

• The aim is to develop an effective algorithm for recognizing chewing motions using advanced imaging technology.
• Utilized a depth camera for capturing motion data without physical markers.
• Employed machine learning techniques to analyze and classify chewing movements.
• Tested the algorithm's accuracy in recognizing various chewing patterns.
• The algorithm demonstrated a recognition accuracy of over 85%.
• Successful classification of different chewing speeds and patterns.
• Potential implications for applications in health monitoring and dietary assessment.