A survey on anomalous behavior detection for elderly care using dense-sensing networks
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 …
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
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 …
sustain the attention of researchers for some time now. As ubiquitous computing …
Efficient human activity recognition using a single wearable sensor
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 …
enables various applications, such as fitness tracking, bad habit detecting, healthcare …
Biosensor-driven IoT wearables for accurate body motion tracking and localization
The domain of human locomotion identification through smartphone sensors is witnessing
rapid expansion within the realm of research. This domain boasts significant potential across …
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
Advancements in sensing technology have expanded the capabilities of both wearable
devices and smartphones, which are now commonly equipped with inertial sensors such as …
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 …
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
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 …
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
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 …
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
Human activity recognition (HAR) has attracted significant attention in various fields,
including healthcare, smart homes, and human-computer interaction. Accurate HAR can …
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 …
human-computer interactions, and ambient assisted living. Especially with the proliferation …