Dec 1, 2023 · In this paper, a novel approach using a Henry Gas Solubility-based Stacked Convolutional Neural Network (HGS-SCNN) for hand gesture recognition using surface …

As one of the most direct and pivotal modes of human–computer interaction (HCI), the application of surface electromyography (sEMG) signals in the domain of gesture prediction has emerged …

This paper provides a comprehensive review of the advancement in the gesture recognition technique and the different algorithms used to enhance gesture recognition for safe and …

Mar 13, 2025 · We use YOLOv2 to detect five distinct hand gestures (index finger, full open hand, fist, thumb up, and peace sign). Then, we program 6 \ (^\circ \) C of freedom (DoF) …

Aug 12, 2020 · A user can make gestures to remotely control a robot by wearing small sensors on their biceps, triceps, and forearm. The current system detects 8 predefined navigational …

Mar 14, 2024 · In this paper, the researchers proposed a robust gesture recognition method based on dual-Doppler radar, combined with improved dynamic time warping (DTW) …

In this work, the hand gesture is recognized using an wearable arm device, which has EMG sensors that measure the electrical signals from muscles in the arm. Based on the contraction …

Nov 1, 2018 · There are four essential technical components in the model of gesture recognition for human-robot collaboration: sensor technologies, gesture identification, gesture tracking and …

Jan 9, 2024 · In this paper, we proposed a method that utilizes an RGB sensor to realize spatial human-robot collaboration. A random forest based depth estimator is presented to supplement …

Nov 23, 2022 · This article proposes a system for recognition of construction workers’ hand gestures using wearable sensors on fingers. The system starts with synchronizing, …