Activity Recognition in Older Adults with Training Data from Younger Adults: Preliminary Results on in Vivo Smartwatch Sensor Data-Reference-Cited by-同舟云学术

Activity Recognition in Older Adults with Training Data from Younger Adults: Preliminary Results on in Vivo Smartwatch Sensor Data

Published:2021-10-17 Issue: Volume: Page:
ISSN:
Container-title:The 23rd International ACM SIGACCESS Conference on Computers and Accessibility
language:
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Author:

Fatima Sabahat¹

Affiliation:

1. Electrical and Computer Engineering Department University of Maryland, United States

Funder

National Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3441852.3476475

Reference43 articles.

1. [n.d.]. Google Activity Recognition API. https://developers.google.com/location-context/activity-recognition/ [n.d.]. Google Activity Recognition API. https://developers.google.com/location-context/activity-recognition/

2. 2001. PAL Technologies. https://www.palt.com/ 2001. PAL Technologies. https://www.palt.com/

3. Leveraging Active Learning and Conditional Mutual Information to Minimize Data Annotation in Human Activity Recognition

4. Davide Anguita Alessandro Ghio Luca Oneto Xavier Parra Jorge Luis Reyes-Ortiz 2013. A public domain dataset for human activity recognition using smartphones.. In Esann Vol. 3. 3. Davide Anguita Alessandro Ghio Luca Oneto Xavier Parra Jorge Luis Reyes-Ortiz 2013. A public domain dataset for human activity recognition using smartphones.. In Esann Vol. 3. 3.

5. Centers for Disease Control and Prevention. 2019. Lack of Physical Activity. https://www.cdc.gov/chronicdisease/resources/publications/factsheets/physical-activity.htm Centers for Disease Control and Prevention. 2019. Lack of Physical Activity. https://www.cdc.gov/chronicdisease/resources/publications/factsheets/physical-activity.htm

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