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Activities of Daily Living

Abstract: 

Recognition of human activities is one of the most promising research areas in artificial intelligence. This has come along with the technological advancement in sensing technologies as well as the high demand for applications that are mobile, context-aware, and real-time. We have used a smart watch (Apple iWatch) to collect sensory data for 14 ADL activities (Activities of Daily Living). 

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Dataset Details

Citation Author(s):
Walid Gomaa, Reda Elbasiony
Submitted by:
Walid Gomaa
Last updated:
Wed, 11/22/2017 - 09:06
DOI:
10.21227/H2PS74
Data Format:
 
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[1] Walid Gomaa, Reda Elbasiony, "Activities of Daily Living", IEEE Dataport, 2017. [Online]. Available: http://dx.doi.org/10.21227/H2PS74. Accessed: Dec. 11, 2017.
@data{h2ps74-17,
doi = {10.21227/H2PS74},
url = {http://dx.doi.org/10.21227/H2PS74},
author = {Walid Gomaa; Reda Elbasiony },
publisher = {IEEE Dataport},
title = {Activities of Daily Living},
year = {2017} }
TY - DATA
T1 - Activities of Daily Living
AU - Walid Gomaa; Reda Elbasiony
PY - 2017
PB - IEEE Dataport
UR - 10.21227/H2PS74
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Walid Gomaa, Reda Elbasiony. (2017). Activities of Daily Living. IEEE Dataport. http://dx.doi.org/10.21227/H2PS74
Walid Gomaa, Reda Elbasiony, 2017. Activities of Daily Living. Available at: http://dx.doi.org/10.21227/H2PS74.
Walid Gomaa, Reda Elbasiony. (2017). "Activities of Daily Living." Web.
1. Walid Gomaa, Reda Elbasiony. Activities of Daily Living [Internet]. IEEE Dataport; 2017. Available from : http://dx.doi.org/10.21227/H2PS74
Walid Gomaa, Reda Elbasiony. "Activities of Daily Living." doi: 10.21227/H2PS74