R&D showcasefor presentation studne.pptx

PPT R&D Showcase

1. Author Names : Sehaba Banu Shaik | J. Hemasree | Lalitha Vatsavi Faculty Mentor : Mr.N.M.Sai Krishna Emai l Id: [email protected] | Mr.R.Priyakanth Email Id: [email protected] BVRIT HYDERABAD COLLEGE OF ENGINEERING FOR WOMEN Accredited By NAAC WITH GRADE: A |Accredited By NBA for 3 Years | NIRF Band 200-250 R&D SHOWCASE 2023 BEYOND THE WALK- Understanding and Diagnosing Abnormal Gait ABSTRACT Abnormal gait recognition is a vital process to diagnose and treat gait abnormalities caused by neurological disorders, musculoskeletal injuries, and medical conditions. Clinical gait analysis is a useful diagnostic tool but requires specialized equipment and space. Early detection and proper treatment of gait abnormalities are crucial to prevent further complications and improve patient outcomes. METHODOLOGY The methodology combines Microsoft Kinect and Inertial Measurement Units to explore a cost-effective and portable solution for gait analysis. Video classification is used for gait recognition, while IMU sensors calculate spatiotemporal features. Machine learning models are trained on datasets, and abnormal gait is detected by comparing values with those of normal gait, while accounting for age, gender, and height. ARCHITECTURE RESULTS SOCIETAL USE The technology can help in early detection of gait abnormalities in individuals, which can lead to timely intervention and treatment. This can prevent further complications and improve the quality of life of the affected individuals. CONCLUSION By utilising Microsoft Kinect and IMU, we can identify aberrant gait patterns and evaluate how well a patient is responding to treatment. REFERENCES Validation of low-cost system for gait assessment in children with ataxia :Computer Methods and Programs in Biomedicine, Volume 196, November 2020 Gait Patterns in Cerebral Palsy:DR. TOM NOVACHECK Gait Abnormalities in Children:Dr Hayley Willacy, Peer reviewed by Dr Colin TidyZ KINECT IMU SENSOR