Task Offloading for Smart Glasses in Healthcare: Enhancing Detection of
Elevated Body Temperature
- URL: http://arxiv.org/abs/2308.07193v1
- Date: Mon, 14 Aug 2023 14:57:19 GMT
- Title: Task Offloading for Smart Glasses in Healthcare: Enhancing Detection of
Elevated Body Temperature
- Authors: Abdenacer Naouri, Nabil Abdelkader Nouri, Attia Qammar, Feifei Shi,
Huansheng Ning and Sahraoui Dhelim
- Abstract summary: This paper focuses on analyzing task-offloading scenarios for a healthcare monitoring application performed on smart wearable glasses.
The study evaluates performance metrics including task completion time, computing capabilities, and energy consumption under realistic conditions.
The findings highlight the potential benefits of task offloading for wearable devices in healthcare settings.
- Score: 3.6525326603691504
- License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
- Abstract: Wearable devices like smart glasses have gained popularity across various
applications. However, their limited computational capabilities pose challenges
for tasks that require extensive processing, such as image and video
processing, leading to drained device batteries. To address this, offloading
such tasks to nearby powerful remote devices, such as mobile devices or remote
servers, has emerged as a promising solution. This paper focuses on analyzing
task-offloading scenarios for a healthcare monitoring application performed on
smart wearable glasses, aiming to identify the optimal conditions for
offloading. The study evaluates performance metrics including task completion
time, computing capabilities, and energy consumption under realistic
conditions. A specific use case is explored within an indoor area like an
airport, where security agents wearing smart glasses to detect elevated body
temperature in individuals, potentially indicating COVID-19. The findings
highlight the potential benefits of task offloading for wearable devices in
healthcare settings, demonstrating its practicality and relevance.
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