"A Step towards Cost-effective Clinical Gait Analysis"
"We focus on the development of a multi-modal gait analysis system using vision sensors such as Microsoft Kinect and wearable sensors namely Inertial Measurement Unit (IMU), Electromyography (EMG), and Electroencephalography (EEG) sensors. The objective of our research is to build an affordable and efficient gait analysis tool that can be used for health care applications in our daily lives using advanced machine learning techniques such as convolutional neural networks, recurrent neural networks etc. "
Development of pathological gait detection system in multi-Kinect environment.
Modelling and understanding of human cognitive states using gait signature.
Modelling and analyzing abnormal human gait using wearable sensors such as IMU sensor.
Understanding Human Cognition for Modelling and Controlling Humanoid Robot Behavior.
Estimation of Human Cognitive States through Ambulatory EEG signal Analysis
Indian Sign Language (ISL) classification using RGB-D images from Kinect V2.0