Human body IoT systems based on the triboelectrification effect: energy harvesting, sensing, interfacing and communication
In recent years, the internet of things (IoT) has been progressing rapidly with the integration
of technologies in various fields. At this stage, triboelectric nanogenerator (TENG) …
of technologies in various fields. At this stage, triboelectric nanogenerator (TENG) …
Learning for a robot: Deep reinforcement learning, imitation learning, transfer learning
J Hua, L Zeng, G Li, Z Ju - Sensors, 2021 - mdpi.com
Dexterous manipulation of the robot is an important part of realizing intelligence, but
manipulators can only perform simple tasks such as sorting and packing in a structured …
manipulators can only perform simple tasks such as sorting and packing in a structured …
Participatory sensing and digital twin city: Updating virtual city models for enhanced risk-informed decision-making
The benefits of a digital twin city have been assessed based on real-time data collected from
preinstalled Internet of Things (IoT) sensors (eg, traffic, energy use, air pollution, water …
preinstalled Internet of Things (IoT) sensors (eg, traffic, energy use, air pollution, water …
Soft Sensors and Actuators for Wearable Human–Machine Interfaces
Haptic human–machine interfaces (HHMIs) combine tactile sensation and haptic feedback
to allow humans to interact closely with machines and robots, providing immersive …
to allow humans to interact closely with machines and robots, providing immersive …
A two-stream neural network for pose-based hand gesture recognition
Pose-based hand gesture recognition has been widely studied in the recent years.
Compared with full body action recognition, hand gesture involves joints that are more …
Compared with full body action recognition, hand gesture involves joints that are more …
Exoskeletal devices for hand assistance and rehabilitation: A comprehensive analysis of state-of-the-art technologies
Robots are effective tools for aiding in the restoration of hand function through rehabilitation
programs or by providing in-task assistance. To date, a multitude of exoskeletal devices …
programs or by providing in-task assistance. To date, a multitude of exoskeletal devices …
Adaptive spatiotemporal representation learning for skeleton-based human action recognition
How do humans recognize an action or an interaction in the real world? Due to the diversity
of viewing perspectives, it is a challenge for humans to identify a regular activity when they …
of viewing perspectives, it is a challenge for humans to identify a regular activity when they …
Soft human–machine interfaces: design, sensing and stimulation
Human–machine interfaces (HMIs) are widely studied to understand the human
biomechanics and/or physiology and the interaction between humans and machines/robots …
biomechanics and/or physiology and the interaction between humans and machines/robots …
A hybrid multimodal fusion framework for sEMG-ACC-Based hand gesture recognition
Hand gesture recognition (HGR) based on surface electromyogram (sEMG) and
accelerometer (ACC) signals has attracted increasing attention. The design of an effective …
accelerometer (ACC) signals has attracted increasing attention. The design of an effective …
Deep human motion detection and multi-features analysis for smart healthcare learning tools
Unhealthy lifestyle causes several chronic diseases in humans. Many products are
introduced to avoid such illnesses and provide e-learning-based healthcare services …
introduced to avoid such illnesses and provide e-learning-based healthcare services …