Soft Sensors and Actuators for Wearable Human–Machine Interfaces

J Park, Y Lee, S Cho, A Choe, J Yeom, YG Ro… - Chemical …, 2024 - ACS Publications
Haptic human–machine interfaces (HHMIs) combine tactile sensation and haptic feedback
to allow humans to interact closely with machines and robots, providing immersive …

Surgical Instrument Signaling Gesture Recognition Using Surface Electromyography Signals

MLB Freitas, JJA Mendes Jr, TS Dias, HV Siqueira… - Sensors, 2023 - mdpi.com
Surgical Instrument Signaling (SIS) is compounded by specific hand gestures used by the
communication between the surgeon and surgical instrumentator. With SIS, the surgeon …

A comparison of EMG-based hand gesture recognition systems based on supervised and reinforcement learning

JP Vásconez, LIB López, ÁLV Caraguay… - … Applications of Artificial …, 2023 - Elsevier
Hand gesture recognition (HGR) based on electromyography signals (EMGs) has been one
of the most relevant research topics in the human–machine interfaces field in recent years …

Static hand gesture recognition based on hierarchical decision and classification of finger features

Y Li, P Zhang - Science Progress, 2022 - journals.sagepub.com
Considering that the distinctions among static hand gestures are the difference between
fingers sticking out, a method of grou** and classifying hand gestures step by step by …

Laparoscopic suture gestures recognition via Machine Learning: a method for validation of kinematic features selection

JM Herrera-López, Á Galán-Cuenca, AJ Reina… - IEEE …, 2024 - ieeexplore.ieee.org
In minimally invasive surgery, robotics integration has been crucial, with a current focus on
develo** collaborative algorithms to reduce surgeons' workload. Effective human-robot …

Recognition of Indian Sign Language using Hand geometry and Neural Network

A Tyagi, S Bansal - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Deaf-mute persons communicate using hand gestures, ie, sign language, making it
challenging to share with other persons. A self-effacing Indian sign language recognition …

[HTML][HTML] Precision at scale: Machine learning revolutionizing laparoscopic surgery

CM Ardila, D González-Arroyave - World Journal of Clinical …, 2024 - pmc.ncbi.nlm.nih.gov
In their recent study published in the World Journal of Clinical Cases, the article found that
minimally invasive laparoscopic surgery under general anesthesia demonstrates superior …

A gesture recognition method based on YCbCr and SURF for service robot interaction

J Zhang, T Geng, H Shi, D Wang… - 2021 6th International …, 2021 - ieeexplore.ieee.org
With the increasing requirements of human-computer interaction experience, gesture
recognition is used in many applications as a novel interaction method. However, the effects …

Model-based Tracking of Magnetic Sensor Gloves in Real Time

M Boueke, J Hoffmann, T Schmidt, C Bald… - Current Directions in …, 2023 - degruyter.com
While mechanical tracking is commonly seen in robot-assisted surgery, contactless gesture
control leads to a more intuitive approach. Magnetic localization systems might be able to …

Surgeon Gesture Recognition Sensor System for a Laparoscopic Suture Manoeuvre

M Vargas-Puga, P Luque-Contreras… - 2024 7th Iberian …, 2024 - ieeexplore.ieee.org
Laparoscopic surgery, a type of minimally invasive abdominal surgery, offers numerous
benefits, including reduced mortality, shorter hospital stays, and lower costs. However, it …