A Method for Improving Recognition of Lying Postures Using a Measured Signal Intensity of Respiration and Heartbeat by Flexible Tactile Sensor Sheet
Kazuya Matsuo, Toshiharu Mukai, Shijie Guo · Proceedings of International Conference on Artificial Life and Robotics · 2021
We describe a method for improving recognition of lying postures using a measured signal ntensity of respiration and heartbeat.We can obtain respiration and heartbeat by means of using the body pressure measured at the suitable location determined by lying posture in the conventional method.Therefore, a recognition rate of lying postures and a measured signal intensity of respiration and heartbeat have positive correlation.In the experiments, we show that recognition of lying postures is improved by our method.