A fall-detection system that uses body area network and thermal energy harvesting technology

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

The research in technologies for body worn sensors has reached a maturity level that empowers the development of small sensors which encompass wireless and energy harvesting capabilities. By deploying these sensors in a body area networks new unique ambient assisted living services can be created. A key service in this area is a fall-detector for elderly which is able to sense falls and transmit alarms wirelessly. However, a major challenge is this service is the dependency of batteries which limits the data-collecting capabilities, the data-processing capabilities, and the wireless communication capabilities. In addition, the process of changing batteries is costly, risky and impractical. In this paper the challenges with the batteries are overcome by deploying an energy harvesting system. The energy is harvested from thermal flux emitted from human skins. A considerable part of this energy is used to overcome the challenges in transmitting the fall-detector data wirelessly. From simulations it has been found that a small form factor fall-detector sensor is able to harvest enough energy to transmit an alarm over the needed distance.
Original languageEnglish
Title of host publication2018 11th CMI International Conference: Prospects and Challenges Towards Developing a Digital Economy within the EU
Number of pages7
PublisherIEEE
Publication date25 Jan 2019
Pages67-73
ISBN (Print)978-1-7281-0445-4
ISBN (Electronic)978-1-7281-0444-7
DOIs
Publication statusPublished - 25 Jan 2019
Event11TH CMI INTERNATIONAL CONFERENCE - København, Denmark
Duration: 29 Nov 201830 Nov 2018
https://www.conf.cmi.aau.dk/11th+CMI+Conference+2018/

Conference

Conference11TH CMI INTERNATIONAL CONFERENCE
CountryDenmark
CityKøbenhavn
Period29/11/201830/11/2018
Internet address
Series11th CMI International Conference, 2018

Cite this

Lynggaard, P. (2019). A fall-detection system that uses body area network and thermal energy harvesting technology. In 2018 11th CMI International Conference: Prospects and Challenges Towards Developing a Digital Economy within the EU (pp. 67-73). IEEE. 11th CMI International Conference, 2018 https://doi.org/10.1109/PCTDDE.2018.8624839
Lynggaard, Per. / A fall-detection system that uses body area network and thermal energy harvesting technology. 2018 11th CMI International Conference: Prospects and Challenges Towards Developing a Digital Economy within the EU. IEEE, 2019. pp. 67-73 (11th CMI International Conference, 2018).
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abstract = "The research in technologies for body worn sensors has reached a maturity level that empowers the development of small sensors which encompass wireless and energy harvesting capabilities. By deploying these sensors in a body area networks new unique ambient assisted living services can be created. A key service in this area is a fall-detector for elderly which is able to sense falls and transmit alarms wirelessly. However, a major challenge is this service is the dependency of batteries which limits the data-collecting capabilities, the data-processing capabilities, and the wireless communication capabilities. In addition, the process of changing batteries is costly, risky and impractical. In this paper the challenges with the batteries are overcome by deploying an energy harvesting system. The energy is harvested from thermal flux emitted from human skins. A considerable part of this energy is used to overcome the challenges in transmitting the fall-detector data wirelessly. From simulations it has been found that a small form factor fall-detector sensor is able to harvest enough energy to transmit an alarm over the needed distance.",
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Lynggaard, P 2019, A fall-detection system that uses body area network and thermal energy harvesting technology. in 2018 11th CMI International Conference: Prospects and Challenges Towards Developing a Digital Economy within the EU. IEEE, 11th CMI International Conference, 2018, pp. 67-73, 11TH CMI INTERNATIONAL CONFERENCE, København, Denmark, 29/11/2018. https://doi.org/10.1109/PCTDDE.2018.8624839

A fall-detection system that uses body area network and thermal energy harvesting technology. / Lynggaard, Per.

2018 11th CMI International Conference: Prospects and Challenges Towards Developing a Digital Economy within the EU. IEEE, 2019. p. 67-73.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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Lynggaard P. A fall-detection system that uses body area network and thermal energy harvesting technology. In 2018 11th CMI International Conference: Prospects and Challenges Towards Developing a Digital Economy within the EU. IEEE. 2019. p. 67-73. (11th CMI International Conference, 2018). https://doi.org/10.1109/PCTDDE.2018.8624839