research-article

How busy is my supervisor?: Detecting the visits in the office of my supervisor using a sensor network

Authors:

Ahmed Nait Aicha,

Gwenn Englebienne,

Ben KröseAuthors Info & Claims

PETRA '12: Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments

Article No.: 12, Pages 1 - 7

https://doi.org/10.1145/2413097.2413112

Published: 06 June 2012 Publication History

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 real life there will be situations where the inhabitant receives visits from family members or professional health care givers. In such cases activity recognition is unreliable. In this paper, we investigate the problem of detecting multiple persons in an environment equipped with a sensor network consisting of binary sensors. We conduct a real-life experiment for detection of visits in the office of the supervisor where the office is equipped with a video camera to record the ground truth. We collected data during two months and used two models, a Naive Bayes Classifier and a Hidden Markov Model for a visitor detection. An evaluation of these two models shows that we achieve an accuracy of 83% with the NBC and an accuracy of 92% with a HMM, respectively.

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Cited By

Lee JMelo N(2020)Habit Representation Based on Activity RecognitionSensors10.3390/s2007192820:7(1928)Online publication date: 30-Mar-2020
https://doi.org/10.3390/s20071928
Hu RMichel BRusso DMora NMatrella GCiampolini PCocchi FMontanari ENunziata SBrunschwiler T(2020)An Unsupervised Behavioral Modeling and Alerting System Based on Passive Sensing for Elderly CareFuture Internet10.3390/fi1301000613:1(6)Online publication date: 30-Dec-2020
https://doi.org/10.3390/fi13010006
Howedi ALotfi APourabdollah A(2020)An Entropy-Based Approach for Anomaly Detection in Activities of Daily Living in the Presence of a VisitorEntropy10.3390/e2208084522:8(845)Online publication date: 30-Jul-2020
https://doi.org/10.3390/e22080845
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cover image ACM Other conferences

PETRA '12: Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments

June 2012

307 pages

ISBN:9781450313001

DOI:10.1145/2413097

Conference Chair:
Fillia Makedon
University of Texas at Arlington

Copyright © 2012 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 06 June 2012

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PETRA2012

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U of Tex at Arlington

PETRA2012: The 5th International Conference on PErvasive Technologies Related to Assistive Environments

June 6 - 8, 2012

Crete, Heraklion, Greece

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Cited By

Lee JMelo N(2020)Habit Representation Based on Activity RecognitionSensors10.3390/s2007192820:7(1928)Online publication date: 30-Mar-2020
https://doi.org/10.3390/s20071928
Hu RMichel BRusso DMora NMatrella GCiampolini PCocchi FMontanari ENunziata SBrunschwiler T(2020)An Unsupervised Behavioral Modeling and Alerting System Based on Passive Sensing for Elderly CareFuture Internet10.3390/fi1301000613:1(6)Online publication date: 30-Dec-2020
https://doi.org/10.3390/fi13010006
Howedi ALotfi APourabdollah A(2020)An Entropy-Based Approach for Anomaly Detection in Activities of Daily Living in the Presence of a VisitorEntropy10.3390/e2208084522:8(845)Online publication date: 30-Jul-2020
https://doi.org/10.3390/e22080845
Howedi ALotfi APourabdollah A(2020)Employing entropy measures to identify visitors in multi-occupancy environmentsJournal of Ambient Intelligence and Humanized Computing10.1007/s12652-020-02824-zOnline publication date: 22-Dec-2020
https://doi.org/10.1007/s12652-020-02824-z
Howedi ALotfi APourabdollah AMakedon F(2019)Distinguishing activities of daily living in a multi-occupancy environmentProceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive Environments10.1145/3316782.3322782(568-574)Online publication date: 5-Jun-2019
https://dl.acm.org/doi/10.1145/3316782.3322782
Hu RPham HBuluschek PGatica-Perez DBoll SEbrahimi TGurrin CJain RJalali LMeyer JO'Connor N(2017)Elderly People Living AloneProceedings of the 2nd International Workshop on Multimedia for Personal Health and Health Care10.1145/3132635.3132649(85-88)Online publication date: 23-Oct-2017
https://dl.acm.org/doi/10.1145/3132635.3132649
Eldib MDeboeverie FHaerenborgh DPhilips WAghajan HCarmona-Galán RRodríguez-Vázquez Á(2015)Detection of visitors in elderly care using a low-resolution visual sensor networkProceedings of the 9th International Conference on Distributed Smart Cameras10.1145/2789116.2789137(56-61)Online publication date: 8-Sep-2015
https://dl.acm.org/doi/10.1145/2789116.2789137
Labonnote NHøyland K(2015)Smart home technologies that support independent living: challenges and opportunities for the building industry – a systematic mapping studyIntelligent Buildings International10.1080/17508975.2015.10487679:1(40-63)Online publication date: 2-Jun-2015
https://doi.org/10.1080/17508975.2015.1048767

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