Posture Estimation

Posture estimation aims to accurately determine the position and orientation of a body, whether a robotic arm or a human, from various sensor inputs. Current research focuses on developing efficient and robust algorithms, often employing convolutional neural networks, to achieve real-time performance on resource-constrained devices like mobile phones, while also addressing challenges like noisy data and occlusions. These advancements are crucial for improving ergonomics in human-robot interaction, enabling more sophisticated soft robotics control, and facilitating applications in healthcare and human motion analysis.