Electromyography-based gesture recognition: Is it time to change focus from the forearm to the wrist?

FS Botros, A Phinyomark… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Despite a historical focus on prosthetics, the incorporation of electromyography (EMG)
sensors into less obtrusive wearable designs has recently gained attention as a potential …

Tesla-rapture: A lightweight gesture recognition system from mmwave radar sparse point clouds

D Salami, R Hasibi, S Palipana… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
We present Tesla-Rapture, a gesture recognition system for sparse point clouds generated
by mmWave Radars. State of the art gesture recognition models are either too resource …

Leveraging deep feature learning for wearable sensors based handwritten character recognition

SK Singh, A Chaturvedi - Biomedical Signal Processing and Control, 2023 - Elsevier
Despite rapid advancements in technology, handwritten characters still hold significant roles
in various fields, including education, communication, biometric signature verification, and …

Interaction with smartwatches using gesture recognition: a systematic literature review

TH Nascimento, CBR Ferreira… - 2020 IEEE 44th …, 2020 - ieeexplore.ieee.org
Smartwatches are wearable devices of emerging mobile technology and are increasingly in
people's daily lives. They allow you to perform various tasks; however, the interaction with …

A reliable and efficient machine learning pipeline for american sign language gesture recognition using EMG sensors

SK Singh, A Chaturvedi - Multimedia Tools and Applications, 2023 - Springer
Sign languages has extensive applications among differently-abled to communicate with
their surroundings. With the development of different sensing technologies, several new …

SoloFinger: Robust microgestures while grasping everyday objects

A Sharma, MA Hedderich, D Bhardwaj… - Proceedings of the …, 2021 - dl.acm.org
Using microgestures, prior work has successfully enabled gestural interactions while
holding objects. Yet, these existing methods are prone to false activations caused by natural …

A novel and lightweight real-time continuous motion gesture recognition algorithm for smartphones

F Sufyan, S Sagar, Z Ashraf, S Nayel, MS Chishti… - IEEE …, 2023 - ieeexplore.ieee.org
Advancement in smartphones has facilitated the investigation of new modalities of human-
machine interaction, including communication through touch, voice, and gestures. In-depth …

A Wearable Human–Machine-Interface (HMI) System Based on Colocated EMG-pFMG Sensing for Hand Gesture Recognition

S Zhang, H Zhou, R Tchantchane… - … /ASME Transactions on …, 2024 - ieeexplore.ieee.org
There have recently been some significant research activities on sensors or electrodes for
human–machine-interface (HMI) systems, mainly focusing on single-modality sensing …

SmartHandwriting: Handwritten Chinese character recognition with smartwatch

J Zhang, H Bi, Y Chen, M Wang… - IEEE Internet of Things …, 2019 - ieeexplore.ieee.org
Most existing systems use portable devices or image processing techniques for handwritten
Chinese character recognition (HCCR), which are unable to detect character when writing …

Wrist player: A smartwatch gesture controller for smart TVs

MM Luna, TP Carvalho, FAAMN Soares… - 2017 IEEE 41st …, 2017 - ieeexplore.ieee.org
Emerging technology on mobile and wearable market, smartwatches have embedded
movement sensors whose potential is yet to be fully explored. This paper proposes an …