The Second Skin: A Wearable Sensor Suite That Enables Real-Time Human Biomechanics Tracking Through Deep Learning
This work shows promise for enabling accurate real-world biomechanical data collection and enhancement of biofeedback systems and wearable robot control.
Authors
- Anirban Mazumdar (ORCID: https://orcid.org/0000-0002-3457-282X)
- Aaron J. Young (ORCID: https://orcid.org/0000-0002-5376-2258)
- Felicia Davenport (ORCID: https://orcid.org/0000-0002-1186-0490)
- Gregory S. Sawicki (ORCID: https://orcid.org/0000-0002-5588-6297)
- R. Casey
- Christoph P. O. Nuesslein (ORCID: https://orcid.org/0000-0003-4966-0301)
- Jason Wheeler (ORCID: https://orcid.org/0009-0008-7746-9399)
Institutions
- Georgia Institute of Technology (US)
- Sandia National Laboratories California (US)
- Sandia National Laboratories (US)
- Intelligent Machines (Sweden) (SE)
Publication Details
- Journal
- IEEE Transactions on Biomedical Engineering
- Published
- 2025-07-16
- DOI
- https://doi.org/10.1109/tbme.2025.3589996
- Primary Topic
- Cardiovascular and exercise physiology
- Type
- article
- Field-Weighted Citation Impact
- 0.00