Multi-sensor information fusion based on machine learning for real applications in human activity recognition: State-of-the-art and research challenges

S Qiu, H Zhao, N Jiang, Z Wang, L Liu, Y An, H Zhao… - Information …, 2022 - Elsevier
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 …

Multidiscipline applications of triboelectric nanogenerators for the intelligent era of internet of things

X Cao, Y **ong, J Sun, X **e, Q Sun, ZL Wang - Nano-micro letters, 2023 - Springer
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 …

[HTML][HTML] Human–robot collaboration in industrial environments: A literature review on non-destructive disassembly

S Hjorth, D Chrysostomou - Robotics and Computer-Integrated …, 2022 - Elsevier
Nowadays, numerous companies and industries introduce recycling processes in their
production, aiming to increase the sustainable use of the planet's natural resources …

Symbiotic human-robot collaborative assembly

L Wang, R Gao, J Váncza, J Krüger, XV Wang… - CIRP annals, 2019 - Elsevier
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 …

Recent methods and databases in vision-based hand gesture recognition: A review

PK Pisharady, M Saerbeck - Computer Vision and Image Understanding, 2015 - Elsevier
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 …

Review of constraints on vision‐based gesture recognition for human–computer interaction

BK Chakraborty, D Sarma, MK Bhuyan… - IET Computer …, 2018 - Wiley Online Library
The ability of computers to recognise hand gestures visually is essential for progress in
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 …

Progress of advanced devices and internet of things systems as enabling technologies for smart homes and health care

Q Shi, Y Yang, Z Sun, C Lee - ACS Materials Au, 2022 - ACS Publications
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 …

[HTML][HTML] Progress in the triboelectric human–machine interfaces (HMIs)-moving from smart gloves to AI/haptic enabled HMI in the 5G/IoT era

Z Sun, M Zhu, C Lee - Nanoenergy Advances, 2021 - mdpi.com
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 …

3D human gesture capturing and recognition by the IMMU-based data glove

B Fang, F Sun, H Liu, C Liu - Neurocomputing, 2018 - Elsevier
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 …