Use of Low-Resolution Infrared Pixel Array for Passive Human Motion Movement and Recognition

The daily monitoring of ageing population is a current issue which can be effectively tackled by applying daily activity monitoring via smart sensing technology. The purpose of the monitoring is mostly aimed at collecting health conditional related activity awareness and emergency events detection. This is a pilot study that uses low pixel resolution infrared sensors for nonintrusive human activity detection and recognition without body attachments and taking of individual image. In this work, we design and implement a multiple IR sensors system and a serial experiment to verify the availability of applying low-resolution IR data for human activity recognition for both single and multiple target scenarios in the healthcare context. In the experimental setup, the sensor system achieves 82.44% accuracy in general and reaches 100% accuracy rate for some particular activities. The work proves that the low-resolution IR information is an effective metric for human activity monitoring in healthcare applications.

Content

Author and article information

Contributors

Yordanka Karayaneva

Samuel Baker

Bo Tan

Yanguo Jing

Conference

Publication date: July 2018

Publication date (Print): July 2018

Pages: 1-2

Affiliations

[0001]Coventry University

Coventry, United Kingdom

Article

DOI: 10.14236/ewic/HCI2018.143

SO-VID: bbcc0bc5-42d5-40fb-99c9-836750e83804

License:

This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

Conference name: Proceedings of the 32nd International BCS Human Computer Interaction Conference

Conference acronym: HCI

Conference number: 32

Conference location: Belfast, UK

Conference date: 4 - 6 July 2018

Conference sponsor: Electronic Workshops in Computing (eWiC)

Conference theme: Human Computer Interaction Conference

History

Product

1477-9358 BCS Learning & Development

Self URI (article page): https://www.scienceopen.com/hosted-document?doi=10.14236/ewic/HCI2018.143

Self URI (journal page): https://ewic.bcs.org/

References

United Nations 2015 World Population Ageing 2015 Department of Economic and Social Affairs, Population Division
N. Slawson 2017 UK social care sector in crisis due to staff shortages March 2017 April 5, 2018 from http://www.theguardian.com/society/2017/mar/08/uk-social-care-crisis-staff-shortages
Y. JingM. EastwoodB. TanA. KoniosA. HamidM. Collinson 2017 An intelligent well-being Monitoring System for Residents in Extra Care Homes International Conference on Internet of Things and Machine Learning (IML 2017) Liverpool John Moores University October 17 – 18, 2017 Published by ACM [Cross Ref]
Ali Maleki TabarArezou KeshavarzHamid Aghajan 2006 Smart home care network using sensor fusion and distributed vision-based reasoning [Cross Ref]
M. N. A. HossainA. PalS. K. A. Hossain “A wearable sensor based elderly home care system in a smart environment,” 2015 18th International Conference on Computer and Information Technology (ICCIT) Dhaka 2015 329 334 [Cross Ref]
B. Tan “Wi-Fi based passive human motion sensing for in-home healthcare applications,” 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT) Milan 2015 609 614 [Cross Ref]
M. PopescuY. LiM. SkubicM Rantz An acoustic fall detector system that uses sound height information to reduce the false alarm rate Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2008) Vancouver, BC, Canada 21 24 August 2008 4628 4631
B. TanK. WoodbridgeK. Chetty “A wireless passive radar system for real-time through-wall movement detection,” IEEE Transactions on Aerospace and Electronic Systems 52 5 2596 2603 October 2016 [Cross Ref]
S. AjamiMW Carter 2013 The advantages and disadvantages of Radio Frequency Identification (RFID) in Health-care Centers; approach in Emergency Room (ER) Pak J Med Sci Pak J 2013 443 448 http://dx.doi.org/10.12669/pjms.291(Suppl).3552
RF Wireless World 2012 IR vs RF | difference between IR remote and RF remote controls 2012 April 8 2018 http://www.rfwireless-world.com/Terminology/Difference-between-IR-remote-and-RF-remote.html
M. ZhangAA Sawchuk 2013 Human Daily Activity Recognition With Sparse Representation Using Wearable Sensors IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS May 2013 553 560
S. MashiyamaJ. HongT. Ohtsuki 2015 Activity Recognition Using Low-Resolution Infrared Array Sensor IEEE ICC 2015 SAC – Communication for E-Health 2015 495 500
C. BasuA. Rowe 2014 Tracking Motion and Proxemics using Thermal-sensor Array Carnegie Mellon University report
T. HosonoT. TakahashiD. DeguchiI. IdeH. MuraseT. AizawaM. Kawade 2014 Human Tracking Using a Far-Infrared Sensor Array and a Thermo-Spatial Sensitive Histogram. 262-274. 10.1007/978-3-319-16631-5_20
S. Gunn 1998 Support Vector Machines for Classification and Regression University of Southampton 5 17
L. Bottou 2012 Stochastic Gradient Descent Tricks Springer [online] 7700 430 445
L. BreimanA. Cutler 2014 Random Forests [online] Statistics at UC Berkeley
O. Sutton 2012 Introduction to k Nearest Neighbour Classification and Condensed Nearest Neighbour Data Reduction 1 3

Comments

Comment on this article

[1] United Nations 2015 World Population Ageing 2015 Department of Economic and Social Affairs, Population Division

[2] N. Slawson 2017 UK social care sector in crisis due to staff shortages March 2017 April 5, 2018 from http://www.theguardian.com/society/2017/mar/08/uk-social-care-crisis-staff-shortages

[3] Y. JingM. EastwoodB. TanA. KoniosA. HamidM. Collinson 2017 An intelligent well-being Monitoring System for Residents in Extra Care Homes International Conference on Internet of Things and Machine Learning (IML 2017) Liverpool John Moores University October 17 – 18, 2017 Published by ACM [Cross Ref]

[4] Ali Maleki TabarArezou KeshavarzHamid Aghajan 2006 Smart home care network using sensor fusion and distributed vision-based reasoning [Cross Ref]

[5] M. N. A. HossainA. PalS. K. A. Hossain “A wearable sensor based elderly home care system in a smart environment,” 2015 18th International Conference on Computer and Information Technology (ICCIT) Dhaka 2015 329 334 [Cross Ref]

[6] B. Tan “Wi-Fi based passive human motion sensing for in-home healthcare applications,” 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT) Milan 2015 609 614 [Cross Ref]

[7] M. PopescuY. LiM. SkubicM Rantz An acoustic fall detector system that uses sound height information to reduce the false alarm rate Proceedings of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBS 2008) Vancouver, BC, Canada 21 24 August 2008 4628 4631

[8] B. TanK. WoodbridgeK. Chetty “A wireless passive radar system for real-time through-wall movement detection,” IEEE Transactions on Aerospace and Electronic Systems 52 5 2596 2603 October 2016 [Cross Ref]

[9] S. AjamiMW Carter 2013 The advantages and disadvantages of Radio Frequency Identification (RFID) in Health-care Centers; approach in Emergency Room (ER) Pak J Med Sci Pak J 2013 443 448 http://dx.doi.org/10.12669/pjms.291(Suppl).3552

[10] RF Wireless World 2012 IR vs RF | difference between IR remote and RF remote controls 2012 April 8 2018 http://www.rfwireless-world.com/Terminology/Difference-between-IR-remote-and-RF-remote.html

[11] M. ZhangAA Sawchuk 2013 Human Daily Activity Recognition With Sparse Representation Using Wearable Sensors IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS May 2013 553 560

[12] S. MashiyamaJ. HongT. Ohtsuki 2015 Activity Recognition Using Low-Resolution Infrared Array Sensor IEEE ICC 2015 SAC – Communication for E-Health 2015 495 500

[13] C. BasuA. Rowe 2014 Tracking Motion and Proxemics using Thermal-sensor Array Carnegie Mellon University report

[14] T. HosonoT. TakahashiD. DeguchiI. IdeH. MuraseT. AizawaM. Kawade 2014 Human Tracking Using a Far-Infrared Sensor Array and a Thermo-Spatial Sensitive Histogram. 262-274. 10.1007/978-3-319-16631-5_20

[15] S. Gunn 1998 Support Vector Machines for Classification and Regression University of Southampton 5 17

[16] L. Bottou 2012 Stochastic Gradient Descent Tricks Springer [online] 7700 430 445

[17] L. BreimanA. Cutler 2014 Random Forests [online] Statistics at UC Berkeley

[18] O. Sutton 2012 Introduction to k Nearest Neighbour Classification and Condensed Nearest Neighbour Data Reduction 1 3

Celebrating 65 years of The Computer Journal - free-to-read perspectives - bcs.org/tcj65