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Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges
This paper firstly introduces common wearable sensors, smart wearable devices and the key
application areas. Since multi-sensor is defined by the presence of more than one model or …
application areas. Since multi-sensor is defined by the presence of more than one model or …
Multidiscipline applications of triboelectric nanogenerators for the intelligent era of internet of things
In the era of 5G and the Internet of things (IoTs), various human–computer interaction
systems based on the integration of triboelectric nanogenerators (TENGs) and IoTs …
systems based on the integration of triboelectric nanogenerators (TENGs) and IoTs …
[HTML][HTML] Human–robot collaboration in industrial environments: A literature review on non-destructive disassembly
Nowadays, numerous companies and industries introduce recycling processes in their
production, aiming to increase the sustainable use of the planet's natural resources …
production, aiming to increase the sustainable use of the planet's natural resources …
Symbiotic human-robot collaborative assembly
In human-robot collaborative assembly, robots are often required to dynamically change
their pre-planned tasks to collaborate with human operators in a shared workspace …
their pre-planned tasks to collaborate with human operators in a shared workspace …
Recent methods and databases in vision-based hand gesture recognition: A review
Successful efforts in hand gesture recognition research within the last two decades paved
the path for natural human–computer interaction systems. Unresolved challenges such as …
the path for natural human–computer interaction systems. Unresolved challenges such as …
Review of constraints on vision‐based gesture recognition for human–computer interaction
The ability of computers to recognise hand gestures visually is essential for progress in
human–computer interaction. Gesture recognition has applications ranging from sign …
human–computer interaction. Gesture recognition has applications ranging from sign …
Dynamic hand gesture recognition based on signals from specialized data glove and deep learning algorithms
Y Dong, J Liu, W Yan - IEEE Transactions on Instrumentation …, 2021 - ieeexplore.ieee.org
Gesture recognition as a natural, convenient and recognizable way has been received more
and more attention on human-machine interaction (HMI) recently. However, visual-based …
and more attention on human-machine interaction (HMI) recently. However, visual-based …
Progress of advanced devices and internet of things systems as enabling technologies for smart homes and health care
In the Internet of Things (IoT) era, various devices (eg., sensors, actuators, energy
harvesters, etc.) and systems have been developed toward the realization of smart …
harvesters, etc.) and systems have been developed toward the realization of smart …
[HTML][HTML] Progress in the triboelectric human–machine interfaces (HMIs)-moving from smart gloves to AI/haptic enabled HMI in the 5G/IoT era
Entering the 5G and internet of things (IoT) era, human–machine interfaces (HMIs) capable
of providing humans with more intuitive interaction with the digitalized world have …
of providing humans with more intuitive interaction with the digitalized world have …
3D human gesture capturing and recognition by the IMMU-based data glove
Gestures recognition provides an intelligent, natural, and convenient way for human–robot
interaction (HRI). This paper presents a novel data glove for gestures capturing and …
interaction (HRI). This paper presents a novel data glove for gestures capturing and …