Low-Rank and Sparse Recovery of Human Gait Data

Low-Rank and Sparse Recovery of Human Gait Data

Due to occlusion or detached markers, information can often be lost while capturing human motion with optical tracking systems. Based on three natural properties of human gait movement, this study presents two different approaches to recover corrupted motion data. These properties are used to define...

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Bibliographic Details
Main Authors: Kaveh Kamali, Ali Akbar Akbari, Christian Desrosiers, Alireza Akbarzadeh, Martin J.-D. Otis, Johannes C. Ayena
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:Sensors
Subjects:
human gait
recovery
low-rank matrix completion
group-sparsity
missing data
Online Access:https://www.mdpi.com/1424-8220/20/16/4525

Internet

https://www.mdpi.com/1424-8220/20/16/4525

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