Book ChapterDOI
Activity Recognition in the Home Using Simple and Ubiquitous Sensors
Emmanuel Munguia Tapia,Stephen S. Intille,Kent Larson +2 more
- pp 158-175
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TLDR
Preliminary results on a small dataset show that it is possible to recognize activities of interest to medical professionals such as toileting, bathing, and grooming with detection accuracies ranging from 25% to 89% depending on the evaluation criteria used.Abstract:
In this work, a system for recognizing activities in the home setting using a set of small and simple state-change sensors is introduced. The sensors are designed to be “tape on and forget” devices that can be quickly and ubiquitously installed in home environments. The proposed sensing system presents an alternative to sensors that are sometimes perceived as invasive, such as cameras and microphones. Unlike prior work, the system has been deployed in multiple residential environments with non-researcher occupants. Preliminary results on a small dataset show that it is possible to recognize activities of interest to medical professionals such as toileting, bathing, and grooming with detection accuracies ranging from 25% to 89% depending on the evaluation criteria used.read more
Citations
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Journal ArticleDOI
A tutorial on human activity recognition using body-worn inertial sensors
TL;DR: In this paper, the authors provide a comprehensive hands-on introduction for newcomers to the field of human activity recognition using on-body inertial sensors and describe the concept of an Activity Recognition Chain (ARC) as a general-purpose framework for designing and evaluating activity recognition systems.
Journal ArticleDOI
Just-in-Time Adaptive Interventions (JITAIs) in Mobile Health: Key Components and Design Principles for Ongoing Health Behavior Support
Inbal Nahum-Shani,Shawna N. Smith,Bonnie Spring,Linda M. Collins,Katie Witkiewitz,Ambuj Tewari,Susan A. Murphy +6 more
TL;DR: It is critical that researchers develop sophisticated and nuanced health behavior theories capable of guiding the construction of JITAIs and particular attention has to be given to better understanding the implications of providing timely and ecologically sound support for intervention adherence and retention.
A Tutorial on Human Activity Recognition Using Body-Worn
Andreas Bulling,Ulf Blanke +1 more
TL;DR: This tutorial aims to provide a comprehensive hands-on introduction for newcomers to the field of human activity recognition using on-body inertial sensors and describes the concept of an Activity Recognition Chain (ARC) as a general-purpose framework for designing and evaluating activity recognition systems.
Journal ArticleDOI
A Survey on Ambient-Assisted Living Tools for Older Adults
Parisa Rashidi,Alex Mihailidis +1 more
TL;DR: The emergence of `ambient-assisted living’ (AAL) tools for older adults based on ambient intelligence paradigm is summarized and the state-of-the-art AAL technologies, tools, and techniques are summarized.
Journal ArticleDOI
Sensor-Based Activity Recognition
TL;DR: A comprehensive survey to examine the development and current status of various aspects of sensor-based activity recognition, making a primary distinction in this paper between data-driven and knowledge-driven approaches.
References
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Journal ArticleDOI
Assessment of Older People: Self-Maintaining and Instrumental Activities of Daily Living
M. P. Lawton,Elmne M. Brody +1 more
TL;DR: Two scales first standardized on their own population are presented, one of which taps a level of functioning heretofore inadequately represented in attempts to assess everyday functional competence, and the other taps a schema of competence into which these behaviors fit.
Journal ArticleDOI
Assessment of older people: self-maintaining and instrumental activities of daily living
M. P. Lawton,Elmne M. Brody +1 more
TL;DR: Two scales first standardized on their own population are presented, one of which taps a level of functioning heretofore inadequately represented in attempts to assess everyday functional competence, and the other taps a schema of competence into which these behaviors fit.
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