Human activity recognition using binary sensors: A systematic review
Human activity recognition (HAR) is an emerging area of study and research field that
explores the development of automated systems to identify and categorize human activities …
explores the development of automated systems to identify and categorize human activities …
PGCL: Prompt guidance and self-supervised contrastive learning-based method for Visual Question Answering
L Gao, H Zhang, Y Liu, N Sheng, H Feng… - Expert Systems with …, 2024 - Elsevier
Recent works have demonstrated the efficacy of Chain-of-Thought (CoT), which comprises
multimodal information, in multiple complex reasoning tasks. CoT, involving multiple stages …
multimodal information, in multiple complex reasoning tasks. CoT, involving multiple stages …
Unsupervised statistical feature-guided diffusion model for sensor-based human activity recognition
Human activity recognition (HAR) from on-body sensors is a core functionality in many AI
applications: from personal health, through sports and wellness to Industry 4.0. A key …
applications: from personal health, through sports and wellness to Industry 4.0. A key …
Incorporating image representation and texture feature for sensor-based gymnastics activity recognition
Sensor-based gymnastics activity recognition has been a hot topic in recent years. Accurate
gymnastics activity recognition plays a crucial role in monitoring athlete performance and …
gymnastics activity recognition plays a crucial role in monitoring athlete performance and …
ASK-HAR: Attention-Based Multi-Core Selective Kernel Convolution Network for Human Activity Recognition
X Yu, MAA Al-qaness - Measurement, 2025 - Elsevier
Abstract Human Activity Recognition (HAR) is an increasingly popular field of study aimed at
automatically identifying and categorizing human movements and activities using various …
automatically identifying and categorizing human movements and activities using various …
Trainable Gaussian-based activation functions for sensor-based human activity recognition
Neural networks' capability to model non-linear relationships strongly depends on their
activation functions (AFs). This dependency makes the search for AFs with better …
activation functions (AFs). This dependency makes the search for AFs with better …
The SES framework and Frequency domain information fusion strategy for Human activity recognition
H Wu, H Feng, L Shi, H Zhang… - 2024 International Joint …, 2024 - ieeexplore.ieee.org
Human activity recognition (HAR) is a task designed to identify and classify physical
activities or behaviors in people's daily lives. This field relies on data collected from various …
activities or behaviors in people's daily lives. This field relies on data collected from various …
A Dual-Stream Fusion Network for Human Energy Expenditure Estimation with Wearable Sensor
S **ao, Z Wang, C Tang, Z Huang - International Journal of …, 2024 - World Scientific
With the increasing awareness of health, using wearable sensors to monitor individual
activities and accurately estimate energy expenditure has become a current research focus …
activities and accurately estimate energy expenditure has become a current research focus …