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Failure of tech startups: a systematic literature review
Tech Startups are exposed to multiple challenges and are known for being inserted into
uncertain and risky scenarios. Initially, new businesses face great uncertainty and have high …
uncertain and risky scenarios. Initially, new businesses face great uncertainty and have high …
An energy-based method for orientation correction of EMG bracelet sensors in hand gesture recognition systems
Hand gesture recognition (HGR) systems using electromyography (EMG) bracelet-type
sensors are currently largely used over other HGR technologies. However, bracelets are …
sensors are currently largely used over other HGR technologies. However, bracelets are …
Advanced hand gesture prediction robust to electrode shift with an arbitrary angle
Z Xu, L Shen, J Qian, Z Zhang - Sensors, 2020 - mdpi.com
Recent advances in myoelectric controlled techniques have made the surface
electromyogram (sEMG)-based sensing armband a promising candidate for acquiring …
electromyogram (sEMG)-based sensing armband a promising candidate for acquiring …
Robust and deployable gesture recognition for smartwatches
Gesture recognition on smartwatches is challenging not only due to resource constraints but
also due to the dynamically changing conditions of users. It is currently an open problem …
also due to the dynamically changing conditions of users. It is currently an open problem …
[HTML][HTML] A user-specific hand gesture recognition model based on feed-forward neural networks, emgs, and correction of sensor orientation
Hand gesture recognition systems have several applications including medicine and
engineering. A gesture recognition system should identify the class, time, and duration of a …
engineering. A gesture recognition system should identify the class, time, and duration of a …
Feature evaluation of EMG signals for hand gesture recognition based on mutual information, fuzzy entropy and RES index
In the field of hand gesture recognition based on electromyography, the selection of features
is still a matter of research because the accuracy of feature evaluation techniques depends …
is still a matter of research because the accuracy of feature evaluation techniques depends …
An approach to the morphological quality of fruits with applying deep learning, a lustrum of analysis
MC Felix M, G Renan A, R Nancy P… - … Conference on Computer …, 2021 - Springer
The agricultural sector plays a key role in current development. The task of fruit classification
is vital in the agricultural industry since the current market demands high quality standards in …
is vital in the agricultural industry since the current market demands high quality standards in …
An interactive system to improve cognitive abilities using electromyographic signals
ME Benalcázar Palacios, X Aguas… - Proceedings of the 5th …, 2021 - dl.acm.org
This article presents a system for improving people's cognitive abilities using
electromyography (EMG) signals. This system was created under the serious game mode …
electromyography (EMG) signals. This system was created under the serious game mode …
Effects on Hand Gesture Recognition Accuracy after Severe Cranial Trauma
This study examines the impact of severe cranial trauma on the accuracy of Hand Gesture
Recognition (HGR) models based on electromyography (EMG) signals. The study focuses …
Recognition (HGR) models based on electromyography (EMG) signals. The study focuses …
An interface for audio control using gesture recognition and IMU data
VH Vimos, ÁL Valdivieso Caraguay… - … on Advances in …, 2021 - Springer
Abstract Hand Gesture Recognition systems using electromyography sensors in conjunction
with data from inertial measurement units are currently largely used for musical interfaces …
with data from inertial measurement units are currently largely used for musical interfaces …