Edge AI on Constrained Devices for Binary Sleep-Wake Classification in Dynamic Environments
The results demonstrate that privacy-preserving, local sleep detection is achievable on edge hardware through careful co-design, while highlighting limitations in sensing intrusiveness, dataset scale, and system integration.
S. Reitmann, Lena Oden
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