A dataset of ambient sensors in a meeting room for activity recognition

H Kim, G Kim, T Lee, K Kim, D Lee - Scientific Data, 2024 - nature.com
As IoT technology advances, using machine learning to detect user activities emerges as a
promising strategy for delivering a variety of smart services. It is essential to have access to …

CARES: Context-aware trust estimation for realtime crowdsensing services in vehicular edge networks

SY Jang, SK Park, JH Cho, D Lee - ACM Transactions on Internet …, 2022 - dl.acm.org
The growing number of smart vehicles makes it possible to envision a crowdsensing service
where vehicles can share video data of their surroundings for seeking out traffic conditions …

DOO-RE: A dataset of ambient sensors in a meeting room for activity recognition

H Kim, G Kim, T Lee, K Kim, D Lee - arxiv preprint arxiv:2401.08962, 2024 - arxiv.org
With the advancement of IoT technology, recognizing user activities with machine learning
methods is a promising way to provide various smart services to users. High-quality data …

A Decentralized Negotiation-based Protocol for Cooperative Smart Environments

ML Daikha, R Boukharrou… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Smart environments are interactive spaces instrumented by intelligent devices, sensors,
actuators, and intelligent monitoring systems that allow users to control and automate …