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[HTML][HTML] Latest research trends in fall detection and prevention using machine learning: A systematic review
Falls are unusual actions that cause a significant health risk among older people. The
growing percentage of people of old age requires urgent development of fall detection and …
growing percentage of people of old age requires urgent development of fall detection and …
Machine learning assists IoT localization: a review of current challenges and future trends
The widespread use of the internet and the exponential growth in small hardware diversity
enable the development of Internet of things (IoT)-based localization systems. We review …
enable the development of Internet of things (IoT)-based localization systems. We review …
[HTML][HTML] Towards a low-cost solution for gait analysis using millimeter wave sensor and machine learning
Human Activity Recognition (HAR) that includes gait analysis may be useful for various
rehabilitation and telemonitoring applications. Current gait analysis methods, such as …
rehabilitation and telemonitoring applications. Current gait analysis methods, such as …
[HTML][HTML] Wi-Fi fingerprint-based indoor localization method via standard particle swarm optimization
J Zheng, K Li, X Zhang - Sensors, 2022 - mdpi.com
With the continuous development and improvement in Internet-of-Things (IoT) technology,
indoor localization has received considerable attention. Particularly, owing to its unique …
indoor localization has received considerable attention. Particularly, owing to its unique …
Investigating the performance of wearable motion sensors on recognizing falls and daily activities via machine learning
With sensor-based wearable technologies, high precision monitoring and recognition of
human physical activities in real time is becoming more critical to support the daily living …
human physical activities in real time is becoming more critical to support the daily living …
Optimized range-free localization scheme using autonomous groups particles swarm optimization for anisotropic wireless sensor networks
F Han, IIM Abdelaziz, KH Ghazali, Y Zhao, N Li - IEEE Access, 2023 - ieeexplore.ieee.org
Location information is a required concern for localization-based service application in the
field of wireless sensor networks (WSNs). Distance Vector-Hop (DV-Hop) algorithm as the …
field of wireless sensor networks (WSNs). Distance Vector-Hop (DV-Hop) algorithm as the …
An Accurate Anchor-Free Contextual Received Signal Strength Approach Localization in a Wireless Sensor Network
N Zaarour, N Hakem, N Kandil - Sensors, 2024 - mdpi.com
Sensor localization remains a crucial function within the context of wireless sensor networks
(WSNs) and is a delicate concern that has attracted many researchers' attention …
(WSNs) and is a delicate concern that has attracted many researchers' attention …
Global positioning system measurements: comparison of IoT wearable devices
Global Positioning System (GPS) receivers can be commonly found onboard Internet of
Things devices, including wearables such as smartwatches and smart wristbands, thanks to …
Things devices, including wearables such as smartwatches and smart wristbands, thanks to …
Evolution of target localization in wireless sensor network (WSN): A review
Wireless Sensor Network holds a pivotal position and gained a lot of attention from
researchers in recent years. Sensor nodes have been used in vast applications such as …
researchers in recent years. Sensor nodes have been used in vast applications such as …
Novel stacking classification and prediction algorithm based ambient assisted living for elderly
Recognition of human activity is a significant area of research with numerous uses. In
developed countries, the rising age of citizens requires the improvement of the medical …
developed countries, the rising age of citizens requires the improvement of the medical …