Device-free localization: A review of non-RF techniques for unobtrusive indoor positioning

F Alam, N Faulkner, B Parr - IEEE Internet of Things Journal, 2020 - ieeexplore.ieee.org
Accurate, reliable indoor localization or positioning is the key enabler for location-based
services. Indoor localization can be broadly classified into two distinct categories. Active …

A survey on device-free indoor localization and tracking in the multi-resident environment

K Ngamakeur, S Yongchareon, J Yu… - ACM Computing Surveys …, 2020 - dl.acm.org
Indoor device-free localization and tracking can bring both convenience and privacy to users
compared with traditional solutions such as camera-based surveillance and RFID tag-based …

Smart seismic sensing for indoor fall detection, location, and notification

J Clemente, F Li, M Valero… - IEEE journal of biomedical …, 2019 - ieeexplore.ieee.org
This paper presents a novel real-time smart system performing fall detection, location, and
notification based on floor vibration data produced by fall downs. Only using floor vibration …

A survey on indoor positioning security and privacy

Y Sartayeva, HCB Chan - Computers & Security, 2023 - Elsevier
With rising demand for indoor location-based services (LBS) such as location-based
marketing, mobile navigation, etc., there has been considerable interest in indoor …

CAvatar: Real-time Human Activity Mesh Reconstruction via Tactile Carpets

W Chen, Y Hu, W Song, Y Liu, A Torralba… - Proceedings of the ACM …, 2024 - dl.acm.org
Human mesh reconstruction is essential for various applications, including virtual reality,
motion capture, sports performance analysis, and healthcare monitoring. In healthcare …

Robust Finger Interactions with COTS Smartwatches via Unsupervised Siamese Adaptation

W Chen, Z Wang, P Quan, Z Peng, S Lin… - Proceedings of the 36th …, 2023 - dl.acm.org
Wearable devices like smartwatches and smart wristbands have gained substantial
popularity in recent years. However, their small interfaces create inconvenience and limit …

Smart home monitoring system via footstep-induced vibrations

F Li, J Clemente, M Valero, Z Tse, S Li… - IEEE Systems …, 2019 - ieeexplore.ieee.org
Instead of using traditional intrusive surveillance technologies such as cameras or body
sensors, we propose a smart home system sensing the footstep-induced vibrations to …

H-SwarmLoc: efficient scheduling for localization of heterogeneous MAV swarm with deep reinforcement learning

H Wang, X Chen, Y Cheng, C Wu, F Dang… - Proceedings of the 20th …, 2022 - dl.acm.org
Emergency rescue scenarios are considered to be high-risk scenarios. Using a micro air
vehicle (MAV) swarm to explore the environment can provide valuable environmental …

[HTML][HTML] A framework for occupancy detection and tracking using floor-vibration signals

S Drira, IFC Smith - Mechanical Systems and Signal Processing, 2022 - Elsevier
In sensed buildings, information related to occupant movement helps optimize important
functionalities such as caregiving, energy management, and security enhancement. Typical …

Indoor person identification and fall detection through non-intrusive floor seismic sensing

J Clemente, WZ Song, M Valero, F Li… - 2019 IEEE International …, 2019 - ieeexplore.ieee.org
This paper presents a novel in-network person identification and fall detection system that
uses floor seismic data produced by footsteps and fall downs as an only source for …