- Project Title: Computational Techniques based investigation for Diabetic foot ulcers complications (CISMR)
Funding Agency: DST- Science and Engineering Research Board (SERB) under EMEQ scheme, GoI
Project Duration : Three (03) years or position is coterminous with the project.
Objective: The aim of the project is to explore Foot pressure plate and Thermogram Images for diabetic foot ulcer
Status : Ongoing [ 2023-2025]
Opening : JRF (01) / Internship / Ph.D .
- Robotic Gait Rehabilitation for Human Locomotion
Objective: The aim of the project is to explore Bipedal Robotic trajectory planning using Computer Vision
Status : Ongoing [ 2023-2025]
Opening : Internship .
- Pose Estimation and Human Gait Analysis
Objective: The aim of the project is to exploring pose techniques for gait/motion analysis . Identification of Correct pose in yoga/exercises/sports.
Status : Ongoing
Opening : Internship
- Robotic arm control using computer vision /flex sensor. Objective: The aim of the project is to control Robotic arm using computer vision/BCI. To explore VR Simulation using computer vision.
Status : Ongoing
Opening : Internship .
- Robotics Path Planning Techniques for Mobile Robots
Objective: The aim of the project is to exploring Robotic path planning methods for mobile robots both on simulation and in unconstrained environment using Computer Vision.
Status : Ongoing
Opening : Internship .
- Brain Computer Interface (BCI) based Exploration of music therapy on Mental health.
Objective: The aim of the project is to exploring music effect on brain.
Status : Ongoing
Opening : Internship/PG/Ph.D .
- 3D modelling of walking person using Computer Vision.
Objective: The aim of the project is to exploring 3D modelling of human walking .
Status : Ongoing
Opening : Internship
- Deep Reinforcement Learning and Applications
Objective: The aim of the project is to exploring Deep Reinforcement Learning techniques and Applications in Robotics and Path planning
Collaborator:
Status : Ongoing
Opening : Internship /PG/Ph.D
- Migraine Attack Analysis using advance computational techniques
Objective: The aim of the project is to exploring techniques for Migraine Attack Prediction using EEG Signals
Status : Ongoing
Opening : Internship / Ph.D
- Indian Vedic Sciences and Machine Learning techniques
Objective: The aim of the project is to explore techniques of machine learning techniques for Indian Vedic Science
Status: Ongoing
Opening: Internship
Completed Projects
- Sign Language Interpreter USING MACHINE LEARNING TECHNIQUES
Objective: The aim of the project is to exploring techniques for Sign Language Interpreter
Status : Complete
- Joint Angles for Lower Extremity in Constraint-Free Environment Human
Objective: The aim of the project is to extract the key joint coordinates (shoulder, hip, left and right knee, left and right ankle) and angles (right and left knee and hip angles) using MNIT gait dataset.
Collaborator: RAMAN LAB MNIT Jaipur; BMVSS, Jaipur, India
Status : Complete
- COVID-19 Analysis using advance computational techniques
Objective: The aim of the project is to exploring techniques for Coronavirus (COVID-19) Visualisation & Prediction.
Status : completed
- Emotion Classification Using Human Gait Analysis
Objective: The aim of the project is to gauge emotion via their gait is a key component in enabling machines to understand people in real-time.
Student Collaborator: S. Srivastava, V. Rastogi, and D. Sethi
Status : Completed - Prediction of Freezing of Gait in Parkinson’s Disease
Objective: The aim of the project is to exploring techniques for predicting proactively FOG condition .
Status : Ongoing
Opening : Internship - Gait Profiling for Rehabilitation in Children with Cerebral Palsy
Objective: The aim of the project is to analyze spatiotemporal and kinematics parameters (stride length, step length, cadence, stance and swing phase, etc.) enable healthcare professionals to differentiate gait pattern into clinically significant categories that assist in diagnosis, assessment, evaluation of the treatment out-comes and clinical decision-making.
Collaborator: Raman LAB MNIT Jaipur; Dr P K Sethi Rehabilitations Center, SDM Hospital, Jaipur, India
Status : Complete - Fuzzy Logic based Gait Phase Detection using Passive Markers
Objective: The aim of the project is to automatically recognizes gait sub phases using fuzzy logic approach from hip and knee angle parameters extracted.
Collaborator: Prof. Rajesh Kumar (MNIT Jaipur)
Status : Complete - Joint Angles for Lower Extremity in Constraint-Free Environment Human
Objective: The aim of the project is to extract the key joint coordinates (shoulder, hip, left and right knee, left and right ankle) and angles (right and left knee and hip angles) using MNIT gait dataset.
Collaborator: Prof. Rajesh Kumar (MNIT Jaipur)
Status : Complete - Development of MNIT Gait Dataset
Objective: The aim of the project is to making a Standard norm of gait parameter for Indian population.
Collaborator: Prof. Rajesh Kumar (MNIT Jaipur)
Status : Complete - Umeed: Intelligent System In Law On Domestic Violence
Objective: The aim of the project is to propose a fuzzy logic based legal expert system, ‘UMEED’, is proposed that emulates the decision making ability of a legal expert, to address different legal issues regarding domestic violence.
Collaborator: Natasha; Dr. Gour Sundar Mitra Thakur, Dr. B.C. Roy Engineering College, Durgapur
Status : Complete
- Prithvi: Agriculture expert system for Soyabean
Objective: The aim of the project is to help the farmers, researchers through graphical user interface and provides an efficient and goal-oriented approach for improving yield of Soybean, by suggesting optimal decision farming methods like sowing period, crop selection, sowing method, fertilizer selection, insect and pest selection according to variety.
Collaborator: Amar Singh Rathor
Status : Complete
- SAAR: Human Aided Automated Text Summarizer using Reinforcement Learning
Objective: The aim of the project is to develop Human Aided, Automated Text Summarizer “SAAR” where length of the summary may be set by the user. Based on the feedback it updates it weight using Reinforcement Learning.
Status : Completed - Face Recognition based on PCA, R-LDA and Supervised Neural networks
Objective: The aim of the project was to explore methods for finding fiducial points for face recognition using Morphological Method coupled with Back prorogation Neural Network. Intelligent biometric system using PCA and R-LDA methods coupled with supervised neural networks methods were analyzed & simulated.
Status : Complete