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Ensemble classifier of long short-term memory with fuzzy temporal windows on binary sensors for activity recognition
There are approaches that successfully recognize activities of daily living by using a trained
classifier on feature vectors created from binary sensor data. Although these approaches …
classifier on feature vectors created from binary sensor data. Although these approaches …
The experience of develo** the UJAmI Smart lab
In the context of ambient-assisted living and monitoring activities and behaviors, the concept
of smart homes/environments has emerged as a research and development field with many …
of smart homes/environments has emerged as a research and development field with many …
[HTML][HTML] Using ontologies for the online recognition of activities of daily living
The recognition of activities of daily living is an important research area of interest in recent
years. The process of activity recognition aims to recognize the actions of one or more …
years. The process of activity recognition aims to recognize the actions of one or more …
Unobtrusive Activity Recognition in Resource-Constrained Environments
N Karvonen - 2018 - diva-portal.org
This thesis discusses activity recognition from a perspective of unobtrusiveness, where
devices are worn or placed in the environment without being stigmatising or in the way. The …
devices are worn or placed in the environment without being stigmatising or in the way. The …