An ensemble deep learning model for human activity analysis using wearable sensory data
Lately, the continuous temporal data from motion sensors in wearable devices has been
great interest for the research community due to its demand for analyzing human activities in …
great interest for the research community due to its demand for analyzing human activities in …
YOLO-FA: Type-1 fuzzy attention based YOLO detector for vehicle detection
L Kang, Z Lu, L Meng, Z Gao - Expert Systems with Applications, 2024 - Elsevier
Vehicle detection is an important component of intelligent transportation systems and
autonomous driving. However, in real-world vehicle detection scenarios, the presence of …
autonomous driving. However, in real-world vehicle detection scenarios, the presence of …
Deep Learning Approaches for Enhanced Lower-Limb Exoskeleton Control: A Review
Recent advancements in robotics have pushed the development of active exoskeletons and
orthoses for assistive, augmentative, and rehabilitative purposes. Deep Learning …
orthoses for assistive, augmentative, and rehabilitative purposes. Deep Learning …
[HTML][HTML] Human posture transition-time detection based upon inertial measurement unit and long short-term memory neural networks
As human–robot interaction becomes more prevalent in industrial and clinical settings,
detecting changes in human posture has become increasingly crucial. While recognizing …
detecting changes in human posture has become increasingly crucial. While recognizing …
Temporal transaction information-aware Ponzi scheme detection for ethereum smart contracts
In recent years, the frenetic advances of blockchain techniques have promoted the large-
scale application of cryptocurrency and attracted significant attention in the mushrooming …
scale application of cryptocurrency and attracted significant attention in the mushrooming …
A Novel Physical Activity Recognition Approach Using Deep Ensemble Optimized Transformers and Reinforcement Learning
In recent years, human physical activity recognition has increasingly attracted attention from
different research fields such as healthcare, computer-human interaction, lifestyle …
different research fields such as healthcare, computer-human interaction, lifestyle …
Semi-Supervised Generative Adversarial Networks with Temporal Convolutions for Human Activity Recognition
H Zilelioglu, G Khodabandelou, A Chibani… - IEEE Sensors …, 2023 - ieeexplore.ieee.org
Many potential applications of human activity recognition (HAR) can be found in health,
surveillance, manufacturing, sports, and so on. For instance, HAR can be exploited in …
surveillance, manufacturing, sports, and so on. For instance, HAR can be exploited in …
Interpretable Dual-branch EMGNet: A transfer learning-based network for inter-subject lower limb motion intention recognition
C Zhang, X Wang, Z Yu, B Wang, C Deng - Engineering Applications of …, 2024 - Elsevier
Currently, the fusion of surface Electromyography (EMG) and deep learning is gradually
showing immense potential in the research of Lower Limb Motion Intention Recognition …
showing immense potential in the research of Lower Limb Motion Intention Recognition …
Efficient human activity recognition: A deep convolutional transformer-based contrastive self-supervised approach using wearable sensors
Y Sun, X Xu, X Tian, L Zhou, Y Li - Engineering Applications of Artificial …, 2024 - Elsevier
Artificial intelligence has advanced the applications of sensor-based human motion capture
and recognition technology in various engineering fields, such as human–robot …
and recognition technology in various engineering fields, such as human–robot …
Magnetic signal denoising based on auxiliary sensor array and deep noise reconstruction
Magnetic field measurement technologies are extensively applied in nondestructive testing,
quality inspection, and fault diagnosis of machines and equipment. Magnetic signals are …
quality inspection, and fault diagnosis of machines and equipment. Magnetic signals are …