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- research-articleJuly 2022
Leveraging Sound and Wrist Motion to Detect Activities of Daily Living with Commodity Smartwatches
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT), Volume 6, Issue 2Article No.: 42, Pages 1–28https://doi.org/10.1145/3534582Automatically recognizing a broad spectrum of human activities is key to realizing many compelling applications in health, personal assistance, human-computer interaction and smart environments. However, in real-world settings, approaches to human action ...
- research-articleMay 2021Honorable Mention
PrivacyMic: Utilizing Inaudible Frequencies for Privacy Preserving Daily Activity Recognition
CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing SystemsArticle No.: 198, Pages 1–13https://doi.org/10.1145/3411764.3445169Sound presents an invaluable signal source that enables computing systems to perform daily activity recognition. However, microphones are optimized for human speech and hearing ranges: capturing private content, such as speech, while omitting useful, ...