Rational clocking [digital systems design]

LFG Sarmenta, GA Pratt… - Proceedings of ICCD'95 …, 1995 - ieeexplore.ieee.org
Communication between independently-clocked digital subsystems typically involves a finite
probability of synchronization failure whose minimization introduces delays and consequent …

Development of low cost EMG data acquisition system for Arm Activities Recognition

S Pancholi, R Agarwal - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Electromyography (EMG) signals are becoming continuously more important in many fields,
including biomedical/clinical, prosthesis, human machine interaction and rehabilitation …

Portable thumb training system for EMG signal measurement and analysis

MR Roslan, SN Sidek, SF Toha… - … on Computer and …, 2016 - ieeexplore.ieee.org
Restoring human limb that is lost due to accidents or amputation because of vascular
diseases with prosthesis is one challenging issue in engineering field. The loss of human …

Finger Tracking for Human Computer Interface Using Multiple Sensor Data Fusion

Z Wang, J Gu - 2022 IEEE Canadian Conference on Electrical …, 2022 - ieeexplore.ieee.org
As human-computer interface advances from two to three dimensions, new input devices are
required to allow low-cost learning and increased human involvement in virtual reality …

Usability of Upper Limb Electromyogram Features as Muscle Fatigue Indicators for Better Adaptation of Human-Robot Interactions

A Thacham Poyil - 2019 - uhra.herts.ac.uk
Human-robot interaction (HRI) is the process of humans and robots working together to
accomplish a goal with the objective of making the interaction beneficial to humans. Closed …

Improving the arm-hand coordination in neuroprosthetics control with prior information from muscle activity

I Batzianoulis - 2019 - infoscience.epfl.ch
Humans use their hands mainly for grasping and manipulating objects, performing simple
and dexterous tasks. The loss of a hand may significantly affect one's working status and …

[图书][B] EMG Feature-Based Approach Toward a Robust Artificial Neural Networks Analysis of Human Finger Motion

A Alriyadh - 2016 - search.proquest.com
Surface electromyography signals (sEMG) are known to be nonstationary and highly noisy.
Hence, classification of the signal in relation to human motion can be difficult. Based on …