Transformers in healthcare: A survey
With Artificial Intelligence (AI) increasingly permeating various aspects of society, including
healthcare, the adoption of the Transformers neural network architecture is rapidly changing …
healthcare, the adoption of the Transformers neural network architecture is rapidly changing …
A narrative review on wearable inertial sensors for human motion tracking in industrial scenarios
Industry 4.0 has promoted the concept of automation, supporting workers with robots while
maintaining their central role in the factory. To guarantee the safety of operators and improve …
maintaining their central role in the factory. To guarantee the safety of operators and improve …
Temporal-channel convolution with self-attention network for human activity recognition using wearable sensors
E Essa, IR Abdelmaksoud - Knowledge-Based Systems, 2023 - Elsevier
Human activity recognition (HAR) is an essential task in many applications such as health
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …
monitoring, rehabilitation, and sports training. Sensor-based HAR has received increasing …
Hamlet: A hierarchical multimodal attention-based human activity recognition algorithm
To fluently collaborate with people, robots need the ability to recognize human activities
accurately. Although modern robots are equipped with various sensors, robust human …
accurately. Although modern robots are equipped with various sensors, robust human …
Multi-gat: A graphical attention-based hierarchical multimodal representation learning approach for human activity recognition
Recognizing human activities is one of the crucial capabilities that a robot needs to have to
be useful around people. Although modern robots are equipped with various types of …
be useful around people. Although modern robots are equipped with various types of …
Human movement and ergonomics: An industry-oriented dataset for collaborative robotics
Improving work conditions in industry is a major challenge that can be addressed with new
emerging technologies such as collaborative robots. Machine learning techniques can …
emerging technologies such as collaborative robots. Machine learning techniques can …
Mumu: Cooperative multitask learning-based guided multimodal fusion
Multimodal sensors (visual, non-visual, and wearable) can provide complementary
information to develop robust perception systems for recognizing activities accurately …
information to develop robust perception systems for recognizing activities accurately …
Stmt: A spatial-temporal mesh transformer for mocap-based action recognition
We study the problem of human action recognition using motion capture (MoCap)
sequences. Unlike existing techniques that take multiple manual steps to derive …
sequences. Unlike existing techniques that take multiple manual steps to derive …
A survey of immersive technologies and applications for industrial product development
With the expanded digitalization of manufacturing and product development process,
research into the use of immersive technology in smart manufacturing has increased. The …
research into the use of immersive technology in smart manufacturing has increased. The …
Data quality and reliability assessment of wearable EMG and IMU sensor for construction activity recognition
The workforce shortage is one of the significant problems in the construction industry. To
overcome the challenges due to workforce shortage, various researchers have proposed …
overcome the challenges due to workforce shortage, various researchers have proposed …