Yawning Detection using Earphone Inertial Measurement Units
Author:
Affiliation:
1. University of Cambridge, United Kingdom
Funder
European Research Council (ERC)
Publisher
ACM
Link
https://dl.acm.org/doi/pdf/10.1145/3615592.3616854
Reference31 articles.
1. [n. d.]. Apple Airpods. https://www.ifixit.com/Teardown/AirPods+2+ Teardown/121471. [n. d.]. Apple Airpods. https://www.ifixit.com/Teardown/AirPods+2+ Teardown/121471.
2. [n. d.]. Google Pixel Buds. https://medium.com/@justlv/google-pixel-buds-teardown-396183cbbc18. [n. d.]. Google Pixel Buds. https://medium.com/@justlv/google-pixel-buds-teardown-396183cbbc18.
3. [n.d.]. Samsung Galaxy Buds. https://root-nation.com/audio-en/headphones-en/en-samsung-galaxy-buds-review. [n.d.]. Samsung Galaxy Buds. https://root-nation.com/audio-en/headphones-en/en-samsung-galaxy-buds-review.
4. Belhassen Akrout and Walid Mahdi. 2016. Yawning detection by the analysis of variational descriptor for monitoring driver drowsiness. In 2016 International Image Processing Applications and Systems (IPAS). 1--5. https://doi.org/10.1109/IPAS.2016.7880127 10.1109/IPAS.2016.7880127
5. Belhassen Akrout and Walid Mahdi. 2016. Yawning detection by the analysis of variational descriptor for monitoring driver drowsiness. In 2016 International Image Processing Applications and Systems (IPAS). 1--5. https://doi.org/10.1109/IPAS.2016.7880127
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