Towards a Multi-Sensor Paradigm for High Resolution Infant Activity Classification
Author:
Affiliation:
1. Michigan State University,Electrical and Computer Engineering,East Lansing,MI,USA
2. Michigan State University,Department of Kinesiology,East Lansing,MI,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10500015/10500024/10500197.pdf?arnumber=10500197
Reference21 articles.
1. Microdevelopment and dynamic systems: Applications to infant motor development
2. How Do You Learn to Walk? Thousands of Steps and Dozens of Falls per Day
3. The Road to Walking
4. Unsupervised End-to-End Deep Model for Newborn and Infant Activity Recognition
5. ActivityNet: A large-scale video benchmark for human activity understanding
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