IoT in smart cities: A survey of technologies, practices and challenges

AS Syed, D Sierra-Sosa, A Kumar, A Elmaghraby - Smart Cities, 2021 - mdpi.com
Internet of Things (IoT) is a system that integrates different devices and technologies,
removing the necessity of human intervention. This enables the capacity of having smart (or …

Unexpected inferences from sensor data: a hidden privacy threat in the internet of things

J Kröger - Internet of Things. Information Processing in an …, 2019 - Springer
A growing number of sensors, embedded in wearables, smart electric meters and other
connected devices, is surrounding us and reaching ever deeper into our private lives. While …

Survey of non-image-based approaches for counting people

ST Kouyoumdjieva, P Danielis… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Accurate people count estimation, potentially in real-time, both for indoor and outdoor
environments, is said to be of major importance in the smart cities of tomorrow. Application …

Deep learning-based real-time building occupancy detection using AMI data

C Feng, A Mehmani, J Zhang - IEEE Transactions on Smart …, 2020 - ieeexplore.ieee.org
Building occupancy patterns facilitate successful development of the smart grid by
enhancing building-to-grid integration efficiencies. Current occupancy detection is limited by …

Occupancy detection of residential buildings using smart meter data: A large-scale study

R Razavi, A Gharipour, M Fleury, IJ Akpan - Energy and Buildings, 2019 - Elsevier
Abstract Advanced Metering Infrastructures (AMIs) are installed to gather localized and
frequently acquired energy consumption data. Despite many potential benefits, the …

Virtual occupancy sensing: Using smart meters to indicate your presence

M **, R Jia, CJ Spanos - IEEE Transactions on Mobile …, 2017 - ieeexplore.ieee.org
Occupancy detection for buildings is crucial to improving energy efficiency, user comfort, and
space utility. However, existing methods require dedicated system setup, continuous …

Milift: Efficient smartwatch-based workout tracking using automatic segmentation

C Shen, BJ Ho, M Srivastava - IEEE Transactions on Mobile …, 2017 - ieeexplore.ieee.org
The use of smartphones and wearables as sensing devices has created innumerable
context inference apps including a class of workout tracking apps. Workout data generated …

Occupancy estimation using ultrasonic chirps

O Shih, A Rowe - Proceedings of the ACM/IEEE Sixth International …, 2015 - dl.acm.org
Estimating the number of people within a room is important for a wide variety of applications
including: HVAC load management, scheduling room allocations and guiding first …

CeilingSee: Device-free occupancy inference through lighting infrastructure based LED sensing

Y Yang, J Hao, J Luo, SJ Pan - 2017 IEEE international …, 2017 - ieeexplore.ieee.org
As a key component of building management and security, occupancy inference through
smart sensing has attracted a lot of research attentions for nearly two decades …

Semantic trajectory insights for worker safety in dynamic environments

M Arslan, C Cruz, D Ginhac - Automation in Construction, 2019 - Elsevier
Existing studies reveal that unsafe worker movement behaviors are one of the major
reasons of construction site fatalities resulting in serious collisions with site objects and …