Gait analysis on daily data using IMUs in smart phones, watch and earbuds
This study introduced a system for daily-life gait analysis using consumer-grade IMU-equipped devices. The algorithm is capable of handling data containing multiple gait types, achieving reliable segmentation and grouping of synchronous gaits. Future work will focus on enhancing algorithm adaptability to dynamic environments and expanding its applicability to larger and more diverse datasets.
Authors
- Yuta Sugiura (ORCID: https://orcid.org/0000-0003-3735-4809)
- Zhuoli Wang
Institutions
- Keio University (JP)
Publication Details
- Journal
- Gait & Posture
- Published
- 2025-09-23
- DOI
- https://doi.org/10.1016/j.gaitpost.2025.09.003
- Primary Topic
- Gait Recognition and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00