[PDF][PDF] A review of upper limb robot assisted therapy techniques and virtual reality applications
Impairments in the sensorimotor system negatively impact the ability of individuals to
perform daily activities autonomously. Upper limb rehabilitation for stroke survivors and …
perform daily activities autonomously. Upper limb rehabilitation for stroke survivors and …
[HTML][HTML] A Machine Learning Approach for Predicting Pedaling Force Profile in Cycling
Accurate measurement of pedaling kinetics and kinematics is vital for optimizing
rehabilitation, exercise training, and understanding musculoskeletal biomechanics. Pedal …
rehabilitation, exercise training, and understanding musculoskeletal biomechanics. Pedal …
Artificial Intelligence Approach in Biomechanical Analysis of Gait.
The objective of the current investigation was to conduct a biomechanical analysis of human
gait based on the Unsupervised machine learning–Artificial Intelligence approach. Twenty …
gait based on the Unsupervised machine learning–Artificial Intelligence approach. Twenty …
Bilateral Ground Reaction Force Prediction Using Deep Learning Models and Custom Force Plate
Several low-cost force plates have been proposed as alternatives for laboratory-grade force
plates. Nevertheless, the inability to quantify bilateral ground reaction force (GRF) prevents …
plates. Nevertheless, the inability to quantify bilateral ground reaction force (GRF) prevents …
Systematic literature review: human gait cycle model using image-temporal feature
IH Jamal, CAA Izhar, AS Fauzilan… - 2021 6th IEEE …, 2021 - ieeexplore.ieee.org
The purpose of this research is to review studies on human gait cycle analysis that used an
Artificial Intelligent Algorithm (AI) based on image temporal data to see if it could enable …
Artificial Intelligent Algorithm (AI) based on image temporal data to see if it could enable …
[PDF][PDF] Ataxia severity classification using enhanced feature selection and ranking optimization through machine learning model
PD Seetharama, S Math - Indonesian Journal of Electrical …, 2023 - academia.edu
The examination of neurological disorders and the monitoring of ataxic gait are major
scientific topics that benefit from digital signal processing techniques and machine learning …
scientific topics that benefit from digital signal processing techniques and machine learning …
Facial Expression Electric Wheelchair Control Instruction Using Image Processing
Tetraplegia is a type of paralysis that affects upper and lower limbs due to damage of spinal
cord or brain. This condition causes difficulty to move and most of the time caretaker is …
cord or brain. This condition causes difficulty to move and most of the time caretaker is …
Classification of Exercise Game Data for Rehabilitation Using Machine Learning Algorithms
The rehabilitation process aims to allow disabled patients to maintain optimal functioning to
achieve return-to-work (RTW) progress. Exercise games are one of the virtual reality …
achieve return-to-work (RTW) progress. Exercise games are one of the virtual reality …