A Highly Flexible Self‐Powered Triboelectric Sensor Array for Silent Speech Recognition and Swallowing Motion Analysis (Small 36/2025)
Triboelectric Sensor Arrays A self-powered triboelectric tactile sensor array enables real-time recognition of silent speech and swallowing motions. Integrated with machine learning, this wearable platform achieves high-accuracy monitoring for assistive communication and dysphagia rehabilitation, offering a transformative approach to intelligent, energy-autonomous biomedical diagnostics. More in article number 2503969, Jin-Jia Hu, Zong-Hong Lin, and co-workers.
Authors
- Fu‐Cheng Kao (ORCID: https://orcid.org/0000-0001-5082-6650)
- Zong‐Hong Lin (ORCID: https://orcid.org/0000-0002-1793-7858)
- Kuldeep Kaswan (ORCID: https://orcid.org/0000-0002-6321-1636)
- Bishal Kumar Nahak (ORCID: https://orcid.org/0000-0002-6770-9896)
- Jin Hu (ORCID: https://orcid.org/0000-0002-1781-6378)
- Parag Parashar (ORCID: https://orcid.org/0000-0001-6375-529X)
- Yu‐Hao Lee (ORCID: https://orcid.org/0000-0002-0727-6021)
- Manish Kumar Sharma (ORCID: https://orcid.org/0000-0002-1574-565X)
- Li‐Chien Shen
Institutions
- National Yang Ming Chiao Tung University (TW)
- National Taiwan University (TW)
- Chang Gung University (TW)
- National Tsing Hua University (TW)
- Chang Gung Memorial Hospital (TW)
- Taoyuan Chang Gung Memorial Hospital (TW)
Publication Details
- Journal
- Small
- Published
- 2025-09-01
- DOI
- https://doi.org/10.1002/smll.70436
- Primary Topic
- Voice and Speech Disorders
- Type
- article
- Field-Weighted Citation Impact
- 0.00