IoT in smart cities: A survey of technologies, practices and challenges
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 …
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 …
connected devices, is surrounding us and reaching ever deeper into our private lives. While …
Survey of non-image-based approaches for counting people
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 …
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
Building occupancy patterns facilitate successful development of the smart grid by
enhancing building-to-grid integration efficiencies. Current occupancy detection is limited 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
Abstract Advanced Metering Infrastructures (AMIs) are installed to gather localized and
frequently acquired energy consumption data. Despite many potential benefits, the …
frequently acquired energy consumption data. Despite many potential benefits, the …
Virtual occupancy sensing: Using smart meters to indicate your presence
Occupancy detection for buildings is crucial to improving energy efficiency, user comfort, and
space utility. However, existing methods require dedicated system setup, continuous …
space utility. However, existing methods require dedicated system setup, continuous …
Milift: Efficient smartwatch-based workout tracking using automatic segmentation
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 …
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 …
including: HVAC load management, scheduling room allocations and guiding first …
CeilingSee: Device-free occupancy inference through lighting infrastructure based LED sensing
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 …
smart sensing has attracted a lot of research attentions for nearly two decades …
Semantic trajectory insights for worker safety in dynamic environments
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 …
reasons of construction site fatalities resulting in serious collisions with site objects and …