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Machine Intelligence & Bio-Motion Research Lab

Machine Intelligence & Bio-Motion Research LabMachine Intelligence & Bio-Motion Research LabMachine Intelligence & Bio-Motion Research Lab

Department of Computer Science and Engineering, NIT Rourkela

Department of Computer Science and Engineering, NIT Rourkela Department of Computer Science and Engineering, NIT Rourkela

Machine Intelligence & Bio-Motion Research Lab

Machine Intelligence & Bio-Motion Research LabMachine Intelligence & Bio-Motion Research LabMachine Intelligence & Bio-Motion Research Lab

Department of Computer Science and Engineering, NIT Rourkela

Department of Computer Science and Engineering, NIT Rourkela Department of Computer Science and Engineering, NIT Rourkela

"A Step towards Cost-effective Clinical Gait Analysis"

Published Books

Modern Methods for Affordable Clinical Gait Analysis

Our book "Modern Methods for Affordable Clinical Gait Analysis" is available for sale through the usual retail outlets, as well as from Elsevier https://www.elsevier.com/books/modern-methods-for-affordable-clinical-gait-analysis/nandy/978-0-323-85245-6 in print and electronic format.  It is also available in html and pdf format on ScienceDirect. 

Training and Skill Internship (VRITIKA) by SERB-DST, Govt. of India under "Accelerate Vigyan"

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NIT Rourkela RoboSoccer Students' Group

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Photo Gallery

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    About Us

    "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. "

    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. 

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    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.

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    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.

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    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.

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    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

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    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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    Machine Intelligence & Bio-Motion Research Lab

    National Institute of Technology, Sector 1, Rourkela, Odisha

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