Accepted: 15 April 2021 During rehabilitation, many postoperative patients need to perform
autonomous massage on time and on demand. Thus, this paper develops an individualized …

Purpose To ensure the motion attitude and stable contact force of massage robot working on
unknown human tissue environment, this study aims to propose a robotic system for …

In this paper, we propose using the Google Colab deep learning framework to create and
train convolutional neural networks from scratch. The trained network is part of a core …

In allusion to the current common acupoint recognition is based on the edge extraction of
neural network, which is affected by too many factors of human, there are certain …

Identifying the massage techniques of the masseuse is a prerequisite for guiding robotic
massage. It is difficult to recognize multiple consecutive massage maps with a time series for …

Traditional Chinese medicine (TCM) massage robot is a new technology that combines
traditional Chinese medicine and modern robot. It plays a vital role in alleviating the …

Manual acupuncture manipulation (MAM) is essential in traditional Chinese medicine
treatment. MAM action recognition is important for junior acupuncturists' training and …

Hand gesture recognition has become one of the most interesting means of contactless
human-computer interaction. There is significant importance for commanding medical …

This paper proposes a human machine interaction system in the field of stroke rehabilitation,
based on the concept of mirror therapy (MT). It aims to improve the hand motor function of …

Touch-less interaction is an active area of research due to its numerous applications ranging
from medical systems to gaming. In this paper we propose a novel interactive system based …