Evaluation of cupboard door sensors for improving activity recognition in the kitchen

Samuel Whitehouse; Kristina Yordanova; Stefan Lüdtke; Adeline T M Paiement; Majid Mirmehdi

doi:10.1109/PERCOMW.2018.8480352

Evaluation of cupboard door sensors for improving activity recognition in the kitchen

Samuel Whitehouse, Kristina Yordanova, Stefan Lüdtke, Adeline T M Paiement, Majid Mirmehdi

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

4 Citations (Scopus)

65 Downloads (Pure)

Abstract

Smart home systems are becoming increasingly relevant with every passing year, but while the technology is more available than ever, other issues such as cost and intrusiveness are becoming more apparent. To this end, we consider the types of sensors which are most useful for fine-grained activity recognition in the kitchen in terms of cost, intrusiveness, durability and ease of installation. We install sensors into a conventional residence for testing, and propose a system which meets the design challenges such an environment presents. We show that cupboard door sensors produce useful data about access to certain non mechanical processes and items, while being cheap and simple. We also show that they positively impact the activity recognition performance of our model through their addition, while providing information that we can make use of in future studies.

Original language	English
Title of host publication	IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom)
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Number of pages	6
ISBN (Electronic)	978-1-5386-3227-7
ISBN (Print)	978-1-5386-3228-4
DOIs	https://doi.org/10.1109/PERCOMW.2018.8480352
Publication status	Published - 8 Oct 2018
Event	2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops) - Kyoto, Japan Duration: 11 Mar 2019 → 15 Mar 2019 Conference number: 18 http://www.percom.org/Previous/ST2019/home.html

Conference

Conference	2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)
Abbreviated title	PerCom 2019
Country/Territory	Japan
City	Kyoto
Period	11/03/19 → 15/03/19
Internet address	http://www.percom.org/Previous/ST2019/home.html

Structured keywords

Digital Health
SPHERE

Keywords

Activity recognition
Monitoring
Hardware
Universal Serial Bus
Software

Access to Document

10.1109/PERCOMW.2018.8480352

Full-text PDF (accepted author manuscript)
This is the author accepted manuscript (AAM). The final published version (version of record) is available online via IEEE at https://ieeexplore.ieee.org/document/8480352. Please refer to any applicable terms of use of the publisher.
Accepted author manuscript, 420 KB

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SPHERE (EPSRC IRC)
Craddock, I. J., Coyle, D. T., Flach, P. A., Kaleshi, D., Mirmehdi, M., Piechocki, R. J., Stark, B. H., Ascione, R., Ashburn, A. M., Burnett, M. E., Damen, D., Gooberman-Hill, R., Harwin, W. S., Hilton, G., Holderbaum, W., Holley, A. P., Manchester, V. A., Meller, B. J., Stack, E. & Gilchrist, I. D.
1/10/13 → 30/09/18
Project: Research, Parent

Cite this

@inproceedings{7f318300ac9149b3abdb310fb6822564,

title = "Evaluation of cupboard door sensors for improving activity recognition in the kitchen",

abstract = "Smart home systems are becoming increasingly relevant with every passing year, but while the technology is more available than ever, other issues such as cost and intrusiveness are becoming more apparent. To this end, we consider the types of sensors which are most useful for fine-grained activity recognition in the kitchen in terms of cost, intrusiveness, durability and ease of installation. We install sensors into a conventional residence for testing, and propose a system which meets the design challenges such an environment presents. We show that cupboard door sensors produce useful data about access to certain non mechanical processes and items, while being cheap and simple. We also show that they positively impact the activity recognition performance of our model through their addition, while providing information that we can make use of in future studies.",

keywords = "Activity recognition, Monitoring, Hardware, Universal Serial Bus, Software",

author = "Samuel Whitehouse and Kristina Yordanova and Stefan L{\"u}dtke and Paiement, {Adeline T M} and Majid Mirmehdi",

year = "2018",

month = oct,

day = "8",

doi = "10.1109/PERCOMW.2018.8480352",

language = "English",

isbn = "978-1-5386-3228-4",

booktitle = "IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom)",

publisher = "Institute of Electrical and Electronics Engineers (IEEE)",

address = "United States",

note = "2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), PerCom 2019 ; Conference date: 11-03-2019 Through 15-03-2019",

url = "http://www.percom.org/Previous/ST2019/home.html",

}

Whitehouse, S, Yordanova, K, Lüdtke, S, Paiement, ATM & Mirmehdi, M 2018, Evaluation of cupboard door sensors for improving activity recognition in the kitchen. in IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom). Institute of Electrical and Electronics Engineers (IEEE), 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops), Kyoto, Japan, 11/03/19. https://doi.org/10.1109/PERCOMW.2018.8480352

Evaluation of cupboard door sensors for improving activity recognition in the kitchen. / Whitehouse, Samuel; Yordanova, Kristina; Lüdtke, Stefan et al.

IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom). Institute of Electrical and Electronics Engineers (IEEE), 2018.

Research output: Chapter in Book/Report/Conference proceeding › Conference Contribution (Conference Proceeding)

TY - GEN

T1 - Evaluation of cupboard door sensors for improving activity recognition in the kitchen

AU - Whitehouse, Samuel

AU - Yordanova, Kristina

AU - Lüdtke, Stefan

AU - Paiement, Adeline T M

AU - Mirmehdi, Majid

N1 - Conference code: 18

PY - 2018/10/8

Y1 - 2018/10/8

N2 - Smart home systems are becoming increasingly relevant with every passing year, but while the technology is more available than ever, other issues such as cost and intrusiveness are becoming more apparent. To this end, we consider the types of sensors which are most useful for fine-grained activity recognition in the kitchen in terms of cost, intrusiveness, durability and ease of installation. We install sensors into a conventional residence for testing, and propose a system which meets the design challenges such an environment presents. We show that cupboard door sensors produce useful data about access to certain non mechanical processes and items, while being cheap and simple. We also show that they positively impact the activity recognition performance of our model through their addition, while providing information that we can make use of in future studies.

AB - Smart home systems are becoming increasingly relevant with every passing year, but while the technology is more available than ever, other issues such as cost and intrusiveness are becoming more apparent. To this end, we consider the types of sensors which are most useful for fine-grained activity recognition in the kitchen in terms of cost, intrusiveness, durability and ease of installation. We install sensors into a conventional residence for testing, and propose a system which meets the design challenges such an environment presents. We show that cupboard door sensors produce useful data about access to certain non mechanical processes and items, while being cheap and simple. We also show that they positively impact the activity recognition performance of our model through their addition, while providing information that we can make use of in future studies.

KW - Activity recognition

KW - Monitoring

KW - Hardware

KW - Universal Serial Bus

KW - Software

U2 - 10.1109/PERCOMW.2018.8480352

DO - 10.1109/PERCOMW.2018.8480352

M3 - Conference Contribution (Conference Proceeding)

SN - 978-1-5386-3228-4

BT - IEEE Annual Conference on Pervasive Computing and Communications Workshops (PerCom)

PB - Institute of Electrical and Electronics Engineers (IEEE)

T2 - 2018 IEEE International Conference on Pervasive Computing and Communications Workshops (PerCom Workshops)

Y2 - 11 March 2019 through 15 March 2019

ER -

Evaluation of cupboard door sensors for improving activity recognition in the kitchen

Abstract

Conference

Structured keywords

Keywords

Access to Document

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Projects

SPHERE (EPSRC IRC)

Cite this