# Glasses prototype uses facial motion-powered sensors > A Northwestern prototype classified six activities using glasses sensors powered by facial movement. - Canonical URL: https://newsverum.com/en/news/northwestern-glass-teng-self-powered-smart-glasses-study-2026 - Publisher: Newsverum - Section: Technology - Country: United States - Published: 2026-10-15T23:48:24+00:00 - Updated: 2026-10-15T23:48:24+00:00 - Event / data period: 2026-10-12 - Other editions: [Türkçe](https://newsverum.com/tr/news/northwestern-glass-teng-self-powered-smart-glasses-study-2026.md), [العربية](https://newsverum.com/ar/news/northwestern-glass-teng-self-powered-smart-glasses-study-2026.md), [Français](https://newsverum.com/fr/news/northwestern-glass-teng-self-powered-smart-glasses-study-2026.md), [Español](https://newsverum.com/es/news/northwestern-glass-teng-self-powered-smart-glasses-study-2026.md), [Deutsch](https://newsverum.com/de/news/northwestern-glass-teng-self-powered-smart-glasses-study-2026.md), [Português](https://newsverum.com/pt/news/northwestern-glass-teng-self-powered-smart-glasses-study-2026.md) Northwestern researchers described GlassTENG, a glasses prototype with three thin triboelectric sensors that harvest energy from facial movement. Signals recorded as 20 participants performed six activities were classified with machine learning at an overall accuracy of 93.8%. The three sensors together used 4.1 microwatts; signals were streamed to a phone over Bluetooth. The findings come from a small laboratory study and do not establish clinical diagnostic accuracy or a finished all-day health product that needs no battery. ## Data ### Research announcement A Northwestern prototype classified six activities using glasses sensors powered by facial movement. Methodology: The event date follows the source institution’s announcement. Results are limited to the study or institutional report; prospective applications are not presented as completed products or clinical outcomes. | date | label | description | status | |---|---|---|---| | 2026-10-12 | Glasses prototype uses facial motion-powered sensors | A Northwestern prototype classified six activities using glasses sensors powered by facial movement. | occurred | Sources: · Download data: [JSON](https://newsverum.com/api/v1/articles/northwestern-glass-teng-self-powered-smart-glasses-study-2026/data/research-announcement?lang=en&format=json) · [CSV](https://newsverum.com/api/v1/articles/northwestern-glass-teng-self-powered-smart-glasses-study-2026/data/research-announcement?lang=en&format=csv) ### Source-reported indicators A Northwestern prototype classified six activities using glasses sensors powered by facial movement. Methodology: These are source-announced grants or study indicators; the date is the report day. Grants are not expenditure; classification and chemistry findings retain the reported experiment/model scope. | label | value | unit | period | basis | value_qualifier | |---|---|---|---|---|---| | Laboratory classification accuracy for six activities | 93.8 | percent | 2026-10-12 | observed | exact | | Laboratory-study participants | 20 | count | 2026-10-12 | observed | exact | Sources: · Download data: [JSON](https://newsverum.com/api/v1/articles/northwestern-glass-teng-self-powered-smart-glasses-study-2026/data/reported-observations?lang=en&format=json) · [CSV](https://newsverum.com/api/v1/articles/northwestern-glass-teng-self-powered-smart-glasses-study-2026/data/reported-observations?lang=en&format=csv) ## Sources - [Northwestern Now]() (Source checked: 2026-10-15; Published: 2026-10-12) --- Cite the canonical URL above. [Editorial standards and corrections](https://newsverum.com/en/editorial)