3D human pose detection using nano sensor and multi-agent deep reinforcement learning

Abstract

<abstract> <p>Due to the complexity of three-dimensional (3D) human pose, it is difficult for ordinary sensors to capture subtle changes in pose, resulting in a decrease in the accuracy of 3D human pose detection. A novel 3D human motion pose detection method is designed by combining Nano sensors and multi-agent deep reinforcement learning technology. First, Nano sensors are placed in key parts of the human to collect human electromyogram (EMG) signals. Second, after de-noising the EMG signal by blind source separation technology, the time-domain and frequency-domain features of the surface EMG signal are extracted. Finally, in the multi-agent environment, the deep reinforcement learning network is introduced to build the multi-agent deep reinforcement learning pose detection model, and the 3D local pose of the human is output according to the features of the EMG signal. The fusion and pose calculation of the multi-sensor pose detection results are performed to obtain the 3D human pose detection results. The results show that the proposed method has high accuracy for detecting various human poses, and the accuracy, precision, recall and specificity of 3D human pose detection results are 0.97, 0.98, 0.95 and 0.98, respectively. Compared with other methods, the detection results in this paper are more accurate, and can be widely used in medicine, film, sports and other fields.</p> </abstract>

Recent Advances in Nanosensors for Motion Detection

“…Outcomes of the suggested method’s 3D human posture detection. Reproduced with permission from ref . Copyright 2023 AIMS Press.…”

“…Comparison of the confusion matrix for the outcomes of several approaches for posture detection. Reproduced with permission from ref . Copyright 2023 AIMS Press.…”

“…The clock is made up of PCF8583 and DS1307, and the MAX232 interface is used to connect to a personal computer. The advantage of IC2 BUS technology is that it can communicate with several masters and slaves, making it Accuracy Comparison Findings43…”

Trajectory Method for Defense Human Motion Posture Based on Nano-Sensor

“…However, the data mining results of this algorithm have the problem of low search completion rate and search accuracy rate, and there are still some differences with the ideal application effect. Sun Y and coauthors [9] proposed a novel 3D human motion pose detection method. Nano sensors capture human EMG signals, de-noised by blind source separation.…”