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 …
Classification using hyperdimensional computing: A review
Hyperdimensional (HD) computing is built upon its unique data type referred to as
hypervectors. The dimension of these hypervectors is typically in the range of tens of …
hypervectors. The dimension of these hypervectors is typically in the range of tens of …
A wearable biosensing system with in-sensor adaptive machine learning for hand gesture recognition
Wearable devices that monitor muscle activity based on surface electromyography could be
of use in the development of hand gesture recognition applications. Such devices typically …
of use in the development of hand gesture recognition applications. Such devices typically …
Stretchable array electromyography sensor with graph neural network for static and dynamic gestures recognition system
With advances in artificial intelligence (AI)-based algorithms, gesture recognition accuracy
from sEMG signals has continued to increase. Spatiotemporal multichannel-sEMG signals …
from sEMG signals has continued to increase. Spatiotemporal multichannel-sEMG signals …
A flexible organic reflectance oximeter array
Transmission-mode pulse oximetry, the optical method for determining oxygen saturation in
blood, is limited to only tissues that can be transilluminated, such as the earlobes and the …
blood, is limited to only tissues that can be transilluminated, such as the earlobes and the …
[HTML][HTML] Soft electronics for health monitoring assisted by machine learning
Due to the development of the novel materials, the past two decades have witnessed the
rapid advances of soft electronics. The soft electronics have huge potential in the physical …
rapid advances of soft electronics. The soft electronics have huge potential in the physical …
A fully embedded adaptive real-time hand gesture classifier leveraging HD-sEMG and deep learning
S Tam, M Boukadoum… - IEEE transactions on …, 2019 - ieeexplore.ieee.org
This paper presents a real-time fine gesture recognition system for multi-articulating hand
prosthesis control, using an embedded convolutional neural network (CNN) to classify hand …
prosthesis control, using an embedded convolutional neural network (CNN) to classify hand …
Efficient biosignal processing using hyperdimensional computing: Network templates for combined learning and classification of ExG signals
Recognizing the very size of the brain's circuits, hyperdimensional (HD) computing can
model neural activity patterns with points in a HD space, that is, with HD vectors. Key …
model neural activity patterns with points in a HD space, that is, with HD vectors. Key …
Capturing complex hand movements and object interactions using machine learning-powered stretchable smart textile gloves
Accurate real-time tracking of dexterous hand movements has numerous applications in
human–computer interaction, the metaverse, robotics and tele-health. Capturing realistic …
human–computer interaction, the metaverse, robotics and tele-health. Capturing realistic …
LSTM recurrent neural network for hand gesture recognition using EMG signals
A Toro-Ossaba, J Jaramillo-Tigreros, JC Tejada… - Applied Sciences, 2022 - mdpi.com
Currently, research on gesture recognition systems has been on the rise due to the
capabilities these systems provide to the field of human–machine interaction, however …
capabilities these systems provide to the field of human–machine interaction, however …