A survey on anomalous behavior detection for elderly care using dense-sensing networks

S Deep, X Zheng, C Karmakar, D Yu… - … Surveys & Tutorials, 2019 - ieeexplore.ieee.org
Facing the gradual ageing society, elderly people living independently are in need of
serious attention. In order to assist them to live in a safer environment, the increasing cost of …

Intelligent localization and deep human activity recognition through IoT devices

A Alazeb, U Azmat, N Al Mudawi, A Alshahrani… - Sensors, 2023 - mdpi.com
Ubiquitous computing has been a green research area that has managed to attract and
sustain the attention of researchers for some time now. As ubiquitous computing …

Efficient human activity recognition using a single wearable sensor

J Lu, X Zheng, M Sheng, J **… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
A reliable recognition of human activities using IoT devices (eg, on-body wearable sensors)
enables various applications, such as fitness tracking, bad habit detecting, healthcare …

Biosensor-driven IoT wearables for accurate body motion tracking and localization

NA Almujally, D Khan, N Al Mudawi, M Alonazi… - Sensors, 2024 - mdpi.com
The domain of human locomotion identification through smartphone sensors is witnessing
rapid expansion within the realm of research. This domain boasts significant potential across …

A wearable inertial sensor approach for locomotion and localization recognition on physical activity

D Khan, N Al Mudawi, M Abdelhaq, A Alazeb… - Sensors, 2024 - mdpi.com
Advancements in sensing technology have expanded the capabilities of both wearable
devices and smartphones, which are now commonly equipped with inertial sensors such as …

PAMS: A new position-aware multi-sensor dataset for human activity recognition using smartphones

P Esfahani, HT Malazi - 2017 19th International Symposium on …, 2017 - ieeexplore.ieee.org
Nowadays smartphones are ubiquitous in various aspects of our lives. The processing
power, communication bandwidth, and the memory capacity of these devices have surged …

Context-aware and dynamically adaptable activity recognition with smart watches: A case study on smoking

S Agac, M Shoaib, OD Incel - Computers & Electrical Engineering, 2021 - Elsevier
Motion sensors available on wearable devices make it possible to recognize various user
activities. An accelerometer is mostly sufficient to detect simple activities, such as walking …

MFE-HAR: multiscale feature engineering for human activity recognition using wearable sensors

J Lu, X Zheng, QZ Sheng, Z Hussain, J Wang… - Proceedings of the 16th …, 2019 - dl.acm.org
Human activity recognition plays a key role in the application areas such as fitness tracking,
healthcare and aged care support. However, inaccurate recognition results may cause an …

IoT-based Multisensors Fusion for Activity Recognition via Key Features and Hybrid Transfer Learning

A Jalal, D Khan, T Sadiq, M Alotaibi, SR Alotaibi… - IEEE …, 2024 - ieeexplore.ieee.org
Human activity recognition (HAR) has attracted significant attention in various fields,
including healthcare, smart homes, and human-computer interaction. Accurate HAR can …

[PDF][PDF] Sensor-Based Human Behavior Recognition Using Artificial Intelligence (AI) Models

J Lu - 2023 - figshare.mq.edu.au
Sensor-based human behavior recognition is a classic problem in ubiquitous computing,
human-computer interactions, and ambient assisted living. Especially with the proliferation …