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A privacy-preserving desk sensor for monitoring healthy movement breaks in smart office environments with the internet of things

Citation

Maiti, A and Ye, A and Schmidt, M and Pedersen, S, A privacy-preserving desk sensor for monitoring healthy movement breaks in smart office environments with the internet of things, Sensors, 23 Article 2229. ISSN 1424-8220 (2023) [Refereed Article]


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DOI: doi:10.3390/s23042229

Abstract

Smart workplace Internet of Things (IoT) solutions rely on several sensors deployed efficiently in the workplace environment to collect accurate data to meet system goals. A vital issue for these sensor-based IoT solutions is privacy. Ideally, the occupants must be monitored discreetly, and the strategies for maintaining privacy are dependent on the nature of the data required. This paper proposes a new sensor design approach for IoT solutions in the workplace that protects occupantsí privacy. We focus on a novel sensor that autonomously detects and captures human movements in the office to monitor a personís sedentary behavior. The sensor guides an eHealth solution that uses continuous feedback about desk behaviors to prompt healthy movement breaks for seated workers. The proposed sensor and its privacy-preserving characteristics can enhance the eHealth solution systemís performance. Compared to self-reporting, intrusive, and other data collection techniques, this sensor can collect the information reliably and timely. We also present the data analysis specific to this new sensor that measures two physical distance parameters in real-time and uses their difference to determine human actions. This architecture aims to collect precise data at the sensor design level rather than to protect privacy during the data analysis phase.

Item Details

Item Type:Refereed Article
Keywords:privacy-preserving, privacy, time series, smart office, smart building, Internet of Things, microcontroller, eHealth, sedentary behavior, activity recognition
Research Division:Information and Computing Sciences
Research Group:Distributed computing and systems software
Research Field:Cyberphysical systems and internet of things
Objective Division:Health
Objective Group:Public health (excl. specific population health)
Objective Field:Behaviour and health
UTAS Author:Maiti, A (Dr Ananda Maiti)
UTAS Author:Ye, A (Mr Anjia Ye)
UTAS Author:Schmidt, M (Mr Matthew Schmidt)
UTAS Author:Pedersen, S (Dr Scott Pedersen)
ID Code:155480
Year Published:2023
Deposited By:Education
Deposited On:2023-02-21
Last Modified:2023-02-23
Downloads:0

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