Wrist Information Detection Sensor Based on Pinhole Imaging

Abstract

For the purpose of meeting the requirements of wrist-worn wearable devices for human-computer interaction and for measuring human physiological parameters, especially dynamic physiological parameters, the collaborative work of various sensors is essential to provide sufficient perceptual information. This study introduces a Wrist Information Detection Sensor Based on Pinhole Imaging (WIDSP). This sensor utilizes the principle of pinhole imaging, employing an image sensor to capture motion and physiological signals at the wrist. Through the processing and analysis of image data, it can achieve the recognition of hand movements and the measurement of human physiological parameters. In the evaluation experiments, the displacement compensation function of WIDSP enhanced the recognition rate of mouse-like movements from 94.67% to 97.33%. Additionally, this sensor achieved a heart rate measurement with less than 2% error, demonstrating WIDSP's broad prospects in wrist information perception applications.

Keywords

• Wrist information detection
• measurement of physiological parameters
• multimodal
• finger gesture recognition
• pinhole imaging