Yunan He

Yunan He

About

17
Publications
1,057
Reads
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81
Citations
Citations since 2016
17 Research Items
81 Citations
2016201720182019202020212022051015202530
2016201720182019202020212022051015202530
2016201720182019202020212022051015202530
2016201720182019202020212022051015202530

Publications

Publications (17)
Article
Full-text available
In this paper, we propose a novel control scheme for a vision-based prosthetic hand. To realize complex and flexible human-like hand movements, the proposed method fuses bimodal information. Combining information from surface EMG signals with object information from a vision sensor, the system can select an appropriate hand motion. The training/rec...
Article
Full-text available
Conventional control systems for prosthetic hands use myoelectric signals as an interface, but it is impossible to realize complex and flexible human hand movements with only myoelectric signals. A promising control scheme for prosthetic hands uses computer vision to assist in grasping objects. It features an imaging sensor, and the control system...
Article
In this paper, we propose a system to estimate 5-finger motions based on recognition of a general object and operator’s EMG signals. DCNN recognizes the object to be grasped by the operator using a camera image, and then LSTM network estimates the 5 finger joint angles from the EMG signals. LSTM networks are prepared for each target object and they...
Article
This paper presents a new control scheme for prosthetic hand. The new control scheme accepts data from a camera and an inertial measurement unit (IMU) sensor as input, which makes prosthetic hands capable of visual as well as motion sensing. The camera captures the scene where the user is willing to grasp the object. From the scene the control syst...
Article
In this research, we propose a system that can estimate intended operation of a prosthetic hand by using a mounted camera. The position of the target object is measured from the image, and the motion of the prosthetic hand is detected by the acceleration and angular velocity sensors. The intended operation is estimated based on these information. T...
Article
Vision-based myoelectric prosthetic hand uses a camera integrated into its body for object detection and environment understanding, where the results provide necessary information for grasp planning. It is expected that the semi-automatic prosthesis control can be realized with this method. However, such a control method usually suffers from heavy...
Conference Paper
This paper develops a prototype system for evaluating upper limb function that combines Internet of Things (IoT) and Augmented Reality (AR) technology. IoT builds the network of patients, test environment and doctor's surgery from which the system gathers and exchanges data such as the speeds and locations of hand movement. With the help of AR tech...
Conference Paper
Motion classification based on pattern recognition of surface EMG (sEMG) signals is a promising approach for prosthetic control. We present a pattern recognition model that combines long short-term memory (LSTM) network with multiplayer perceptron (MLP) for sEMG signals feature learning and classification. The LSTM network captures temporal depende...

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