Yukihiko Aoyagi
Osaka, 5300014, Japan
Last Updated: 09/26/2026
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Found 8 publications
Development of a Gait Analysis Application for Assessing Upper and Lower Limb Movements to Detect Pathological Gait.
Journal: Sensors (Basel, Switzerland)
Published: August 15, 2024
Fluctuations in Upper and Lower Body Movement during Walking in Normal Pressure Hydrocephalus and Parkinson's Disease Assessed by Motion Capture with a Smartphone Application, TDPT-GT.
Journal: Sensors (Basel, Switzerland)
Published: October 26, 2023
Artificial Intelligence Distinguishes Pathological Gait: The Analysis of Markerless Motion Capture Gait Data Acquired by an iOS Application (TDPT-GT).
Journal: Sensors (Basel, Switzerland)
Published: May 19, 2023
Quantitative Gait Feature Assessment on Two-Dimensional Body Axis Projection Planes Converted from Three-Dimensional Coordinates Estimated with a Deep Learning Smartphone App.
Journal: Sensors (Basel, Switzerland)
Published: December 05, 2022
Development of Smartphone Application for Markerless Three-Dimensional Motion Capture Based on Deep Learning Model.
Journal: Sensors (Basel, Switzerland)
Published: May 30, 2022
Gait Assessment Using Three-Dimensional Acceleration of the Trunk in Idiopathic Normal Pressure Hydrocephalus.
Journal: Frontiers in aging neuroscience
Published: January 15, 2021
Gait analysis in a component timed-up-and-go test using a smartphone application.
Journal: Journal of the neurological sciences
Published: October 10, 2018
Quantitative Evaluation of Gait Disturbance on an Instrumented Timed Up-and-go Test.
Journal: Aging and disease
Published: December 27, 2017
Showing 1-8 of 8
Last Updated: 09/26/2026