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Treadmill Running with IMUs and Custom Piezoresistive Strain Sensors on one Lower Limb
| Description: | Background: Soft strain sensors can be integrated into clothing in a very unobtrusive fashion and may be used for kinematics measurement of runners in the field. This study collected data to train and test a machine learning model that predicted running kinematics from wearable strain sensor measurements. Objective: Evaluate whether soft fibre strain sensors worn in a tight-fitting garment around unilateral lower limb joints could be used to reconstruct running kinematics. The resisitve strain sensor signals (after processing with a machine learning model) were compared to the gold-standard optical motion capture reference which was collected simultaneously. Research outcomes: These data were collected for the study in [1]. Data intepretations: This dataset may be useful for others comparing resistive strain sensors in running, as there exists few public datasets that include both strain sensors and gold-standard motion capture data. Methods: Data was collected as described in [1]. Twelve subjects ran on an instrumented treadmill at five speeds (8, 9, ..., 12 km/h) wearing tights that included nine piezoresistive strain sensors. An optical motion capture system recorded the "gold standard" joint angles. Shortcomings of the dataset include: - Strain sensors placed only on the left leg. - Only the left side ground reaction forces were measured. [1] Gholami, M.; Rezaei, A.; Cuthbert, T.J.; Napier, C.; Menon, C. Lower Body Kinematics Monitoring in Running Using Fabric-Based Wearable Sensors and Deep Convolutional Neural Networks. Sensors 2019, 19, 5325–5343, doi:10.3390/s19235325. |
| Authors: | Gholami, Mohsen; Simon Fraser University Menon, Carlo; Simon Fraser University |
| Keywords: | wearable sensors human motion tracking textile sensors |
| Field of Research: | Medical and biomedical engineering > Medical and biomedical engineering > Biomechanical engineering
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| Publication Date: | 2024-01-25 |
| Publisher: | Federated Research Data Repository / dépôt fédéré de données de recherche |
| Funder: | Canada Foundation for Innovation; Centre for Wearable Biomedical Technologies; Project Number 36347 |
| URI: | https://doi.org/10.20383/103.0871 |
| Related Identifiers: |
This dataset is derived from
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| Appears in Collections: | SFU Research Data |
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Access to this dataset is subject to the following terms:
Creative Commons Attribution-NonCommercial-ShareAlike 4.0 (CC BY-NC-SA 4.0) https://creativecommons.org/licenses/by-nc-sa/4.0/
Citation
Gholami, M., Menon, C. (2024). Treadmill Running with IMUs and Custom Piezoresistive Strain Sensors on one Lower Limb. Federated Research Data Repository. https://doi.org/10.20383/103.0871
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