Online Recognition of Daily Activities by Color-Depth Sensing and Knowledge Models-Reference-Cited by-同舟云学术

Online Recognition of Daily Activities by Color-Depth Sensing and Knowledge Models

Published:2017-06-29 Issue:7 Volume:17 Page:1528
ISSN:1424-8220
Container-title:Sensors
language:en
Short-container-title:Sensors

Author:

Crispim-Junior Carlos,Gómez Uría Alvaro,Strumia Carola,Koperski Michal,König Alexandra,Negin Farhood,Cosar Serhan,Nghiem Anh,Chau Duc,Charpiat Guillaume,Bremond Francois

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Link

http://www.mdpi.com/1424-8220/17/7/1528/pdf

Reference26 articles.

1. Recognizing complex instrumental activities of daily living using scene information and fuzzy logic

2. Statistical data mining of streaming motion data for activity and fall recognition in assistive environments

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