Failure of tech startups: a systematic literature review

J Santisteban, V Morales, S Bayona… - International conference on …, 2022 - Springer
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 …

An energy-based method for orientation correction of EMG bracelet sensors in hand gesture recognition systems

LIB López, ÁLV Caraguay, VH Vimos, JA Zea… - Sensors, 2020 - mdpi.com
Hand gesture recognition (HGR) systems using electromyography (EMG) bracelet-type
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 …

Robust and deployable gesture recognition for smartwatches

U Kunwar, S Borar, M Berghofer, J Kylmälä… - Proceedings of the 27th …, 2022 - dl.acm.org
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 …

[HTML][HTML] A user-specific hand gesture recognition model based on feed-forward neural networks, emgs, and correction of sensor orientation

ME Benalcázar, ÁL Valdivieso Caraguay… - Applied Sciences, 2020 - mdpi.com
Hand gesture recognition systems have several applications including medicine and
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

LI Barona-Lopez, AL Valdivieso-Caraguay… - … and Applications in …, 2021 - Springer
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 …

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 …

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 …

Effects on Hand Gesture Recognition Accuracy after Severe Cranial Trauma

JA Zea, LGM Santillán, LIB López… - 2023 IEEE Seventh …, 2023 - ieeexplore.ieee.org
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 …

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 …