An overview of indoor localization system for human activity recognition (HAR) in healthcare

L Bibbò, R Carotenuto, F Della Corte - Sensors, 2022 - mdpi.com
The number of older people needing healthcare is a growing global phenomenon. The
assistance in long-term care comprises a complex of medical, nursing, rehabilitation, and …

FedLoc: Federated learning framework for data-driven cooperative localization and location data processing

F Yin, Z Lin, Q Kong, Y Xu, D Li… - IEEE Open Journal …, 2020 - ieeexplore.ieee.org
In this overview paper, data-driven learning model-based cooperative localization and
location data processing are considered, in line with the emerging machine learning and big …

Towards mobility data science (vision paper)

M Mokbel, M Sakr, L Xiong, A Züfle, J Almeida… - arXiv preprint arXiv …, 2023 - arxiv.org
Mobility data captures the locations of moving objects such as humans, animals, and cars.
With the availability of GPS-equipped mobile devices and other inexpensive location …

Impact of sliding window length in indoor human motion modes and pose pattern recognition based on smartphone sensors

G Wang, Q Li, L Wang, W Wang, M Wu, T Liu - Sensors, 2018 - mdpi.com
Human activity recognition (HAR) is essential for understanding people's habits and
behaviors, providing an important data source for precise marketing and research in …

Human activity recognition for indoor localization using smartphone inertial sensors

D Moreira, M Barandas, T Rocha, P Alves, R Santos… - Sensors, 2021 - mdpi.com
With the fast increase in the demand for location-based services and the proliferation of
smartphones, the topic of indoor localization is attracting great interest. In indoor …

Real-time indoor positioning approach using iBeacons and smartphone sensors

L Liu, B Li, L Yang, T Liu - Applied Sciences, 2020 - mdpi.com
For localization in daily life, low-cost indoor positioning systems should provide real-time
locations with a reasonable accuracy. Considering the flexibility of deployment and low price …

Floorplannet: Learning topometric floorplan matching for robot localization

D Feng, Z He, J Hou, S Schwertfeger… - … on Robotics and …, 2023 - ieeexplore.ieee.org
Given a building floorplan, humans can localize themselves by matching the observation of
the environment with the floorplan using geometric, semantic, and topological clues …

An IBeacon-based location system for smart home control

Q Liu, X Yang, L Deng - Sensors, 2018 - mdpi.com
Indoor location and intelligent control system can bring convenience to people's daily life. In
this paper, an indoor control system is designed to achieve equipment remote control by …

[HTML][HTML] Deep learning-based human activity real-time recognition for pedestrian navigation

J Ye, X Li, X Zhang, Q Zhang, W Chen - Sensors, 2020 - mdpi.com
Several pedestrian navigation solutions have been proposed to date, and most of them are
based on smartphones. Real-time recognition of pedestrian mode and smartphone posture …

A pedestrian tracking algorithm using grid-based indoor model

W Xu, L Liu, S Zlatanova, W Penard, Q Xiong - Automation in Construction, 2018 - Elsevier
Pedestrian tracking is widely required by location-based services, eg indoor navigation,
mobile advertising, and guidance for emergency response, etc. But indoor localization and …