Department of Computer Science and Engineering, NIT Rourkela
Department of Computer Science and Engineering, NIT Rourkela
"A Step towards developing AI-based Technology for Healthcare Applications"
Research Work
Gait Analysis using MULtiPLE Kinect v2.0
Gait analysis using EMOtiv Epoch+ headset, Kinect
Gait analysis using EMOtiv Epoch+ headset, Kinect
Development of pathological gait detection system in multi-Kinect environment.
Gait analysis using EMOtiv Epoch+ headset, Kinect
Gait analysis using EMOtiv Epoch+ headset, Kinect
Gait analysis using EMOtiv Epoch+ headset, Kinect
Modelling and understanding of human cognitive states using gait signature.
GAIT Analysis using WEARABLE sensor
Gait analysis using EMOtiv Epoch+ headset, Kinect
GAIT Analysis using WEARABLE sensor
Modelling and analyzing abnormal human gait using wearable sensors such as IMU sensor.
human-robot INTERACTION
Human Gesture Recognition using machine learning techniques
Cognitive state estimation using EMOTIV EPOCH+ Headset
Understanding Human Cognition for Modelling and Controlling Humanoid Robot Behavior.
Cognitive state estimation using EMOTIV EPOCH+ Headset
Human Gesture Recognition using machine learning techniques
Cognitive state estimation using EMOTIV EPOCH+ Headset
Estimation of Human Cognitive States through Ambulatory EEG signal Analysis
Human Gesture Recognition using machine learning techniques
Human Gesture Recognition using machine learning techniques
Human Gesture Recognition using machine learning techniques
Indian Sign Language (ISL) classification using RGB-D images from Kinect V2.0
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