Article

Deep learning-based stride segmentation with wearable sensors: effects of data quantity, sensor location, and task

2024-12-18

Abstract excerpt

Accurate stride segmentation from wearable sensors is foundational for digital gait assessment tools, yet systematic evaluations of deep learning approaches across varied real-world mobility tasks remain limited. We developed and assessed Temporal Convolutional Network (TCN) models for stride segmentation using data from 121 older adults with and without Parkinson’s disease, specifically evaluating how performance...

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Literature Corpus work: 5df0b476-a576-5cc2-bd2f-eccc6e2fdd98
DOI: 10.1101/2024.12.17.24319160

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