Skin-interfaced electronics: A promising and intelligent paradigm for personalized healthcare
Skin-interfaced electronics (skintronics) have received considerable attention due to their
thinness, skin-like mechanical softness, excellent conformability, and multifunctional …
thinness, skin-like mechanical softness, excellent conformability, and multifunctional …
A review of sampling, energy supply and intelligent monitoring for long-term sweat sensors
Sweat is a biofluid with rich information that can reflect an individual's state of health or
activity. But the real-time in situ sweat sensors lack the ability of long-term monitoring …
activity. But the real-time in situ sweat sensors lack the ability of long-term monitoring …
Multi-level feature fusion for multimodal human activity recognition in Internet of Healthcare Things
Abstract Human Activity Recognition (HAR) has become a crucial element for smart
healthcare applications due to the fast adoption of wearable sensors and mobile …
healthcare applications due to the fast adoption of wearable sensors and mobile …
A human activity recognition method based on lightweight feature extraction combined with pruned and quantized CNN for wearable device
Human Activity Recognition (HAR) is becoming an essential part of human life care. Existing
HAR methods are usually developed using a two-level approach, wherein a first-level …
HAR methods are usually developed using a two-level approach, wherein a first-level …
Deep residual network for smartwatch-based user identification through complex hand movements
Wearable technology has advanced significantly and is now used in various entertainment
and business contexts. Authentication methods could be trustworthy, transparent, and non …
and business contexts. Authentication methods could be trustworthy, transparent, and non …
A convolutional neural network-based feature extraction and weighted twin support vector machine algorithm for context-aware human activity recognition
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 …
A survey on yogic posture recognition
AK Rajendran, SC Sethuraman - IEEE Access, 2023 - ieeexplore.ieee.org
Yoga has been a great form of physical activity and one of the promising applications in
personal health care. Several studies prove that yoga is used as one of the physical …
personal health care. Several studies prove that yoga is used as one of the physical …
Transformers in action recognition: A review on temporal modeling
In vision-based action recognition, spatio-temporal features from different modalities are
used for recognizing activities. Temporal modeling is a long challenge of action recognition …
used for recognizing activities. Temporal modeling is a long challenge of action recognition …
Large scale foundation models for intelligent manufacturing applications: a survey
H Zhang, SD Semujju, Z Wang, X Lv, K Xu… - Journal of Intelligent …, 2025 - Springer
Although the applications of artificial intelligence especially deep learning have greatly
improved various aspects of intelligent manufacturing, they still face challenges for broader …
improved various aspects of intelligent manufacturing, they still face challenges for broader …
DeepTransHAR: a novel clustering-based transfer learning approach for recognizing the cross-domain human activities using GRUs (Gated Recurrent Units) …
Deep learning models have gained widespread acceptance in recent decades for their
ability to recognize human activities. In terms of automated feature extraction capability and …
ability to recognize human activities. In terms of automated feature extraction capability and …