Human activity recognition (har) using deep learning: Review, methodologies, progress and future research directions
P Kumar, S Chauhan, LK Awasthi - Archives of Computational Methods in …, 2024 - Springer
Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …
home sectors. Using deep learning, we conduct a comprehensive survey of current state …
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 …
Feature-based information retrieval of multimodal biosignals with a self-similarity matrix: Focus on automatic segmentation
Biosignal-based technology has been increasingly available in our daily life, being a critical
information source. Wearable biosensors have been widely applied in, among others …
information source. Wearable biosensors have been widely applied in, among others …
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 …
Sensor-based human activity and behavior research: where advanced sensing and recognition technologies meet
Human activity recognition (HAR) and human behavior recognition (HBR) have been
playing increasingly important roles in the digital age. High-quality sensory observations …
playing increasingly important roles in the digital age. High-quality sensory observations …
[PDF][PDF] On a Real Real-Time Wearable Human Activity Recognition System.
Many human activity recognition (HAR) systems have the ultimate application scenarios in
real-time, while most literature has limited the HAR study to offline models. Some mentioned …
real-time, while most literature has limited the HAR study to offline models. Some mentioned …
A convolutional neural network-based feature extraction and weighted twin support vector machine algorithm for context-aware human activity recognition
KT Chui, BB Gupta, M Torres-Ruiz, V Arya, W Alhalabi… - Electronics, 2023 - mdpi.com
Human activity recognition (HAR) is crucial to infer the activities of human beings, and to
provide support in various aspects such as monitoring, alerting, and security. Distinct …
provide support in various aspects such as monitoring, alerting, and security. Distinct …
[PDF][PDF] How Long Are Various Types of Daily Activities? Statistical Analysis of a Multimodal Wearable Sensor-based Human Activity Dataset.
Human activity research in the field of informatics, such as activity segmentation, modeling,
and recognition, is moving in an increasingly interpretable direction with the introduction of …
and recognition, is moving in an increasingly interpretable direction with the introduction of …
How validation methodology influences human activity recognition mobile systems
In this article, we introduce explainable methods to understand how Human Activity
Recognition (HAR) mobile systems perform based on the chosen validation strategies. Our …
Recognition (HAR) mobile systems perform based on the chosen validation strategies. Our …
High-level features for human activity recognition and modeling
Abstract High-Level Features (HLF) are a novel way of describing and processing human
activities. Each feature captures an interpretable aspect of activities, and a unique …
activities. Each feature captures an interpretable aspect of activities, and a unique …