Determination of Spatiotemporal Gait Parameters Using a Smartphone’s IMU in the Pocket: Threshold-Based and Deep Learning Approaches

Determination of Spatiotemporal Gait Parameters Using a Smartphone’s IMU in the Pocket: Threshold-Based and Deep Learning Approaches

This study proposes a hybrid approach combining threshold-based algorithm and deep learning to detect four major gait events—initial contact (IC), toe-off (TO), opposite initial contact (OIC), and opposite toe-off (OTO)—using only a smartphone’s built-in inertial sensor placed in the user’s pocket....

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Bibliographic Details
Main Authors: Seunghee Lee, Changeon Park, Eunho Ha, Jiseon Hong, Sung Hoon Kim, Youngho Kim
Format: Article
Language:English
Published: MDPI AG 2025-07-01
Series:Sensors
Subjects:
gait event
spatiotemporal parameter
IMU
deep learning
knowledge distillation
hemiplegic stroke
Online Access:https://www.mdpi.com/1424-8220/25/14/4395
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