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 …
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
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 …
location data processing are considered, in line with the emerging machine learning and big …
Towards mobility data science (vision paper)
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 …
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
Human activity recognition (HAR) is essential for understanding people's habits and
behaviors, providing an important data source for precise marketing and research in …
behaviors, providing an important data source for precise marketing and research in …
Human activity recognition for indoor localization using smartphone inertial sensors
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 …
smartphones, the topic of indoor localization is attracting great interest. In indoor …
Real-time indoor positioning approach using iBeacons and smartphone sensors
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 …
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 …
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 …
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
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 …
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 …
mobile advertising, and guidance for emergency response, etc. But indoor localization and …