Saikat Chakraborty

About Saikat Chakraborty

Saikat Chakraborty, With an exceptional h-index of 6 and a recent h-index of 6 (since 2020), a distinguished researcher at National Institute of Technology, Rourkela, specializes in the field of Clinical Gait Analysis, Machine Intelligence, Pattern Recognition.

His recent articles reflect a diverse array of research interests and contributions to the field:

Gait Event Prediction of People with Cerebral Palsy using Feature Uncertainty: A Low-Cost Approach

An Ensemble Model for Gait Classification in Children and Adolescent with Cerebral Palsy: A Low-Cost Approach

Deep Learning in Gait Abnormality Detection: Principles and Illustrations

Pathological gait detection based on multiple regression models using unobtrusive sensing technology

Modern methods for affordable clinical gait analysis: theories and applications in healthcare systems

Effective Clinical Gait Analysis Using Supervised Learning Techniques

An unsupervised approach for gait phase detection

Gait Abnormality Detection Using Deep Convolution Network

Saikat Chakraborty Information

University

Position

Orissa India

Citations(all)

172

Citations(since 2020)

158

Cited By

67

hIndex(all)

6

hIndex(since 2020)

6

i10Index(all)

4

i10Index(since 2020)

4

Email

University Profile Page

National Institute of Technology, Rourkela

Google Scholar

View Google Scholar Profile

Saikat Chakraborty Skills & Research Interests

Clinical Gait Analysis

Machine Intelligence

Pattern Recognition

Top articles of Saikat Chakraborty

Title

Journal

Author(s)

Publication Date

Gait Event Prediction of People with Cerebral Palsy using Feature Uncertainty: A Low-Cost Approach

Saikat Chakraborty

Noble Thomas

Anup Nandy

2023/10/9

An Ensemble Model for Gait Classification in Children and Adolescent with Cerebral Palsy: A Low-Cost Approach

Saikat Chakraborty

Sruti Sambhavi

Prashansa Panda

Anup Nandy

2023/3/2

Deep Learning in Gait Abnormality Detection: Principles and Illustrations

Bioinformatics and Medical Applications: Big Data Using Deep Learning Algorithms

Saikat Chakraborty

Sruti Sambhavi

Anup Nandy

2022/4/3

Pathological gait detection based on multiple regression models using unobtrusive sensing technology

Journal of Signal Processing Systems

Saikat Chakraborty

Shaili Jain

Anup Nandy

Gentiane Venture

2021/1

Modern methods for affordable clinical gait analysis: theories and applications in healthcare systems

Anup Nandy

Saikat Chakraborty

Jayeeta Chakraborty

Gentiane Venture

2021/7/27

Effective Clinical Gait Analysis Using Supervised Learning Techniques

Saikat Chakraborty

2021

An unsupervised approach for gait phase detection

Saikat Chakraborty

Anup Nandy

2020/2/27

Gait Abnormality Detection Using Deep Convolution Network

Saikat Chakraborty

Tomoya Suzuki

Abhipsha Das

Anup Nandy

Gentiane Venture

2021

Automatic diagnosis of cerebral palsy gait using computational intelligence techniques: A low-cost multi-sensor approach

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Saikat Chakraborty

Anup Nandy

2020/10/1

A low-cost pathological gait detection system in multi-kinect environment

Saikat Chakraborty

Rishabh Mishra

Anurag Dwivedi

Tania Das

Anup Nandy

2020

Gait abnormality detection in people with cerebral palsy using an uncertainty-based state-space model

Saikat Chakraborty

Noble Thomas

Anup Nandy

2020/6/3

Gait deficits and dynamic stability in children and adolescents with cerebral palsy: A systematic review and meta-analysis

Saikat Chakraborty

Anup Nandy

Trisha M Kesar

2020/1/1

Accuracy of image data stream of a markerless motion capture system in determining the local dynamic stability and joint kinematics of human gait

Journal of biomechanics

Saikat Chakraborty

Anup Nandy

Takazumi Yamaguchi

Vincent Bonnet

Gentiane Venture

2020/5/7

Reply to Dr. Sina Mehdizadeh.

Journal of Biomechanics

Saikat Chakraborty

Anup Nandy

Takazumi Yamaguchi

Vincent Bonnet

Gentiane Venture

2020/5/6

See List of Professors in Saikat Chakraborty University(National Institute of Technology, Rourkela)

Co-Authors

H-index: 24
Trisha Kesar

Trisha Kesar

Emory & Henry College

H-index: 20
Dr. Kamal Sarkar

Dr. Kamal Sarkar

Jadavpur University

H-index: 13
Anup Nandy, JSPS Fellow

Anup Nandy, JSPS Fellow

National Institute of Technology, Rourkela

H-index: 1
Abhipsha Das

Abhipsha Das

International Institute of Information Technology, Bhubaneswar

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