Task Offloading for Smart Glasses in Healthcare: Enhancing Detection of Elevated Body Temperature
Abdenacer Naouri, Nabil Abdelkader Nouri, Attia Qammar, Feifei Shi,, Huansheng Ning, Sahraoui Dhelim

TL;DR
This paper analyzes task offloading for smart glasses in healthcare, focusing on detecting elevated body temperature to improve performance and energy efficiency in real-world scenarios.
Contribution
It evaluates optimal offloading conditions for healthcare monitoring on smart glasses, considering performance metrics and practical indoor use cases.
Findings
Offloading reduces energy consumption and improves task completion time.
Optimal offloading conditions depend on device capabilities and environment.
Demonstrates practicality of offloading in healthcare scenarios like temperature detection.
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…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsIoT and Edge/Fog Computing · Context-Aware Activity Recognition Systems · Human Mobility and Location-Based Analysis
