Research Articles from Human Learning, Artificial Intelligence, and Applications in Medical Field Research Group

This is a group of researches aiming to study human perception and thinking processes and apply the knowledge to create artificial intelligence in robots. Thus, robots can learn and work independently. Researches also focus on the development of medical equipment to increase the capacity and ability to improve the physical and mental health of the patient.

RESEARCH PUBLICATIONS

2011

- - Gait phase detection for a low-cost pressure sensor system for residual limb and socket interface

- - Zigbee-based sEMG monitoring system for Above Knee Prostheses

- - Classification of Initial Stripe Height Patterns using Radial Basis Function Neural Network for Proportional Gain Prediction

- - Combination of Surface EMG Signal Feature for Gait Phase Detection

- - Gait Event Detection Using Nintendo Wii

- - Neighborhood Components Analysis in sEMG Signal Dimensionality Reduction for Gait Phase Pattern Recognition

- - Wii-Based for Knee Joint Angle Measurement

- - Wireless sEMG Monitoring System using Zigbee RF Module for Developing Knee Prostheses

- - Wireless Wearable Gait Monitoring System using Wii Remote Control

Research Articles from Human Learning, Artificial Intelligence, and Applications in Medical Field Research Group

RESEARCH PUBLICATIONS

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