Data fusion and multiple classifier systems for human activity detection and health monitoring: Review and open research directions
Activity detection and classification using different sensor modalities have emerged as
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
revolutionary technology for real-time and autonomous monitoring in behaviour analysis …
Robust human locomotion and localization activity recognition over multisensory
Human activity recognition (HAR) plays a pivotal role in various domains, including
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
healthcare, sports, robotics, and security. With the growing popularity of wearable devices …
Unimib shar: A dataset for human activity recognition using acceleration data from smartphones
Smartphones, smartwatches, fitness trackers, and ad-hoc wearable devices are being
increasingly used to monitor human activities. Data acquired by the hosted sensors are …
increasingly used to monitor human activities. Data acquired by the hosted sensors are …
Automatic recognition of human interaction via hybrid descriptors and maximum entropy markov model using depth sensors
Automatic identification of human interaction is a challenging task especially in dynamic
environments with cluttered backgrounds from video sequences. Advancements in computer …
environments with cluttered backgrounds from video sequences. Advancements in computer …
Deep convolutional neural networks for human action recognition using depth maps and postures
In this paper, we present a method (Action-Fusion) for human action recognition from depth
maps and posture data using convolutional neural networks (CNNs). Two input descriptors …
maps and posture data using convolutional neural networks (CNNs). Two input descriptors …
A study of accelerometer and gyroscope measurements in physical life-log activities detection systems
Nowadays, wearable technology can enhance physical human life-log routines by shifting
goals from merely counting steps to tackling significant healthcare challenges. Such …
goals from merely counting steps to tackling significant healthcare challenges. Such …
Monitoring real-time personal locomotion behaviors over smart indoor-outdoor environments via body-worn sensors
M Gochoo, SBUD Tahir, A Jalal, K Kim - IEEE Access, 2021 - ieeexplore.ieee.org
The monitoring of human physical activities using wearable sensors, such as inertial-based
sensors, plays a significant role in various current and potential applications. These …
sensors, plays a significant role in various current and potential applications. These …
Human falling detection algorithm based on multisensor data fusion with SVM
D Pan, H Liu, D Qu, Z Zhang - Mobile Information Systems, 2020 - Wiley Online Library
Falling is a common phenomenon in the life of the elderly, and it is also one of the 10 main
causes of serious health injuries and death of the elderly. In order to prevent falling of the …
causes of serious health injuries and death of the elderly. In order to prevent falling of the …
Personalized models for human activity recognition with wearable sensors: deep neural networks and signal processing
D Gholamiangonabadi, K Grolinger - Applied Intelligence, 2023 - Springer
Abstract Human Activity Recognition (HAR) has been attracting research attention because
of its importance in applications such as health monitoring, assisted living, and active living …
of its importance in applications such as health monitoring, assisted living, and active living …
[PDF][PDF] Student's health exercise recognition tool for E-learning education
Due to the recently increased requirements of e-learning systems, multiple educational
institutes such as kindergarten have transformed their learning towards virtual education …
institutes such as kindergarten have transformed their learning towards virtual education …