A survey on hyperdimensional computing aka vector symbolic architectures, part ii: Applications, cognitive models, and challenges
This is Part II of the two-part comprehensive survey devoted to a computing framework most
commonly known under the names Hyperdimensional Computing and Vector Symbolic …
commonly known under the names Hyperdimensional Computing and Vector Symbolic …
SEMG-based upper limb movement classifier: Current scenario and upcoming challenges
Despite achieving accuracies higher than 90% on recognizing upper-limb movements
through sEMG (surface Electromyography) signal with the state of art classifiers in the …
through sEMG (surface Electromyography) signal with the state of art classifiers in the …
Memory-efficient, limb position-aware hand gesture recognition using hyperdimensional computing
Electromyogram (EMG) pattern recognition can be used to classify hand gestures and
movements for human-machine interface and prosthetics applications, but it often faces …
movements for human-machine interface and prosthetics applications, but it often faces …
Manihd: Efficient hyper-dimensional learning using manifold trainable encoder
Hyper-Dimensional (HD) computing emulates the human short memory functionality by
computing with hyper-vectors as an alternative to computing with numbers. The main goal of …
computing with hyper-vectors as an alternative to computing with numbers. The main goal of …
Accelerating Permute and N-Gram Operations for Hyperdimensional Learning in Embedded Systems
Hyperdimensional computing (HDC) is a novel computing framework that has gained
significant attention for its ability to accelerate machine learning algorithms. Its fast learning …
significant attention for its ability to accelerate machine learning algorithms. Its fast learning …
Towards extending real-time EMG-based gesture recognition system
C Andronache, M Negru, A Neacsu… - 2020 43rd …, 2020 - ieeexplore.ieee.org
In biomedical applications, the Electromyographic (EMG) signal is used to record the
electrical activity of the muscles during their contraction. EMG signal classification stands at …
electrical activity of the muscles during their contraction. EMG signal classification stands at …
Evaluation of synergy-based hand gesture recognition method against force variation for robust myoelectric control
Z Teng, G Xu, R Liang, M Li… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The non-stationary characteristics of surface electromyography (sEMG) and possible
adverse variations in real-world conditions make it still an open challenge to realize robust …
adverse variations in real-world conditions make it still an open challenge to realize robust …
[PDF][PDF] Recognition of new gestures using myo armband for myoelectric prosthetic applications.
JS Hussain, A Al-Khazzar… - International Journal of …, 2020 - researchgate.net
Myoelectric prostheses are a viable solution for people with amputations. The challenge in
implementing a usable myoelectric prosthesis lies in accurately recognizing different hand …
implementing a usable myoelectric prosthesis lies in accurately recognizing different hand …
Enhanced Detection of Transdermal Alcohol Levels Using Hyperdimensional Computing on Embedded Devices
Alcohol consumption has a significant impact on individuals' health, with even more
pronounced consequences when consumption becomes excessive. One approach to …
pronounced consequences when consumption becomes excessive. One approach to …
SupportHDC: Hyperdimensional Computing with Scalable Hypervector Sparsity
Hyperdimensional Computing (HDC) is an emerging brain-inspired machine learning
method that is recently gaining much attention for performing tasks such as pattern …
method that is recently gaining much attention for performing tasks such as pattern …