A Wearable Internet of Things based system with edge computing for real-time human activity tracking

Nicholas J. Cooney, Karna Prasanna Joshi, Atul S. Minhas

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

Abstract

Wearable devices for human physical activity tracking are becoming a commonly used gadget in daily life. Commercial devices such as smartwatches and smart bands are currently available from many different vendors. Most of them are capable of providing health statistics through sensors embedded in them. However, they only provide the basic information in the form of a quantity, which does not have a direct clinical relevance. A major reason for this is the use of cloud computing by most of these devices. Cloud systems managed by commercial companies charge for their premium services, which allows users to get access to their data. Besides, healthcare regulatory bodies do not yet approve the analytics performed by cloud systems. This makes these systems unsuitable for home based physical therapy or rehabilitation monitoring. Leveraging on the Wearable Internet of Things (WIoT) and edge computing technologies, we developed a low cost, portable, and wearable device which can collect human activity data in real-time and transfer it to a local server for computing and analysis. We tested our device for two different activities and successfully transferred the data from tracking device to an edge computer at frequency of the order of 100 Hz.

Original languageEnglish
Title of host publicationProceedings
Subtitle of host publication2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018
EditorsA. B. M. Shawkat Ali, Shah Miah, Maheswara Rao Valluri
Place of PublicationPiscataway, NJ
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages26-31
Number of pages6
ISBN (Electronic)9781728113906
ISBN (Print)9781728113913
DOIs
Publication statusPublished - 2019
Event5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018 - Nadi, Fiji
Duration: 10 Dec 201812 Dec 2018

Conference

Conference5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018
CountryFiji
CityNadi
Period10/12/1812/12/18

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    Cooney, N. J., Joshi, K. P., & Minhas, A. S. (2019). A Wearable Internet of Things based system with edge computing for real-time human activity tracking. In A. B. M. S. Ali, S. Miah, & M. R. Valluri (Eds.), Proceedings: 2018 5th Asia-Pacific World Congress on Computer Science and Engineering, APWC on CSE 2018 (pp. 26-31). Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/APWConCSE.2018.00013