Smartwatch-Based Sensing Framework for Continuous Data Collection: Design and Implementation-Reference-Cited by-同舟云学术

Smartwatch-Based Sensing Framework for Continuous Data Collection: Design and Implementation

Published:2023-10-08 Issue: Volume: Page:
ISSN:
Container-title:Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing
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Author:

Nishiyama Yuuki¹^ORCID,Sezaki Kaoru¹^ORCID

Affiliation:

1. The University of Tokyo, Japan

Funder

JSPS KAKENHI Grant

National Institute of Information and Communications Technology (NICT)

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3594739.3612874

Reference22 articles.

1. Detecting Drinking Episodes in Young Adults Using Smartphone-based Sensors

2. Jakob E Bardram . 2020. The CARP Mobile Sensing Framework–A Cross-platform , Reactive, Programming Framework and Runtime Environment for Digital Phenotyping. arXiv preprint arXiv:2006.11904 ( 2020 ). Jakob E Bardram. 2020. The CARP Mobile Sensing Framework–A Cross-platform, Reactive, Programming Framework and Runtime Environment for Digital Phenotyping. arXiv preprint arXiv:2006.11904 (2020).

3. Leveraging Sound and Wrist Motion to Detect Activities of Daily Living with Commodity Smartwatches

4. Identifying Behavioral Phenotypes of Loneliness and Social Isolation with Passive Sensing: Statistical Analysis, Data Mining and Machine Learning of Smartphone and Fitbit Data

5. Denzil Ferreira , Vassilis Kostakos , and Anind K. Dey . 2015 . AWARE: Mobile Context Instrumentation Framework. Frontiers in ICT 2 (2015). Denzil Ferreira, Vassilis Kostakos, and Anind K. Dey. 2015. AWARE: Mobile Context Instrumentation Framework. Frontiers in ICT 2 (2015).