How lonely is your grandma?: detecting the visits to assisted living elderly from wireless sensor network data

Authors:
Ahmed Nait Aicha;Gwenn Englebienne;Ben Kröse
Affiliations:
HvA University of Applied Sciences, Amsterdam, Netherlands;University of Amsterdam, Amsterdam, Netherlands;University of Amsterdam, Amsterdam, Netherlands
Venue:
Proceedings of the 2013 ACM conference on Pervasive and ubiquitous computing adjunct publication
Year:
2013

Citing 11
Cited 0

Learning When Negative Examples Abound

ECML '97 Proceedings of the 9th European Conference on Machine Learning
Recognition of Human Activity through Hierarchical Stochastic Learning

PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Activity Recognition and Abnormality Detection with the Switching Hidden Semi-Markov Model

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Learning and Detecting Activities from Movement Trajectories Using the Hierarchical Hidden Markov Models

CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A survey of advances in vision-based human motion capture and analysis

Computer Vision and Image Understanding - Special issue on modeling people: Vision-based understanding of a person's shape, appearance, movement, and behaviour
Accurate activity recognition in a home setting

UbiComp '08 Proceedings of the 10th international conference on Ubiquitous computing
epSICAR: An Emerging Patterns based approach to sequential, interleaved and Concurrent Activity Recognition

PERCOM '09 Proceedings of the 2009 IEEE International Conference on Pervasive Computing and Communications
A smart home application to eldercare: Current status and lessons learned

Technology and Health Care - Smart Environments: Technology to Support Healthcare
Sensor-Based Human Activity Recognition in a Multi-user Scenario

AmI '09 Proceedings of the European Conference on Ambient Intelligence
DETECTION OF SOCIAL INTERACTION IN SMART SPACES

Cybernetics and Systems - SOCIAL AWARENESS IN SMART SPACES: PART I
Simultaneous tracking and activity recognition (STAR) using many anonymous, binary sensors

PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing

Quantified Score

Hi-index	0.00

Visualization

Abstract

Existing research on the recognition of Activities of Daily Living (ADL) from simple sensor networks assumes that only a single person is present in the home. In reality, the resident receives visits from family members or professional health care givers. In such cases activity recognition must take into account the presence of multiple persons. Here we investigate the problem of detecting multiple persons in a home environment equipped with a sensor network consisting of 13 binary sensors. We collected data during more than one year in our living labs and used Hidden Markov Model (HMM) for a visitor detection. A cross validation method was used to determine the best set of features from the binary data. Using this set of features the detection rate is approximately 85%.