Optimizing Sensor and Data Selection on Lower Limbs via Deep Learning for Real-Time Human Activity Recognition [0.03%]
基于深度学习的下肢传感器和数据选择优化以实现实时的人体活动识别
Zihang You,Neethan Ratnakumar,Bo Shen et al.
Zihang You et al.
Real-time human activity recognition (HAR) is crucial for adaptive control in lower limb exoskeletons, yet achieving an optimal balance between accuracy, latency, and sensor complexity remains challenging. This study's key idea is to system...
Bimanual Manipulation of Steady-Hand Eye Robots with Adaptive Sclera Force Control: Cooperative vs. Teleoperation Strategies [0.03%]
自适应巩膜力控制的双臂稳视眼机器人协作与遥操作策略
Mojtaba Esfandiari,Peter Gehlbach,Russell H Taylor et al.
Mojtaba Esfandiari et al.
Performing retinal vein cannulation (RVC) as a potential treatment for retinal vein occlusion (RVO) without the assistance of a surgical robotic system is very challenging to do safely. The main limitation is the physiological hand tremor o...
Palpation Characteristics of an Instrumented Virtual Cricothyroidotomy Simulator [0.03%]
一种仪器化虚拟环甲膜切开术模拟器的触诊特征
Melih Turkseven,Trudi Di Qi,Ganesh Sankaranarayanan et al.
Melih Turkseven et al.
Cricothyroidotomy (CCT) is a critical, life-saving procedure requiring the identification of key neck landmarks through palpation. Interactive virtual simulation offers a promising, cost-effective approach to CCT training with high visual r...
A Single-Camera Method for Estimating Lift Asymmetry Angles Using Deep Learning Computer Vision Algorithms [0.03%]
使用深度学习计算机视觉算法通过单摄像头估计升力不对称角度的方法
Zhengyang Lou,Zitong Zhan,Huan Xu et al.
Zhengyang Lou et al.
A computer vision (CV) method to automatically measure the revised NIOSH lifting equation asymmetry angle (A) from a single camera is described and tested. A laboratory study involving ten participants performing various lifts was used to e...
User-Centered and Analytic-Based Approaches to Generate Usable Gestures for Individuals With Quadriplegia [0.03%]
面向四肢瘫痪患者的以用户为中心和基于分析的可使用手势生成方法
Hairong Jiang,Bradley S Duerstock,Juan P Wachs
Hairong Jiang
Hand gesture-based interfaces have become increasingly popular as a form to interact with computing devices. Unfortunately, standard gesture interfaces are not very usable by individuals with upper limb motor impairments, including quadripl...
SonoMyoNet: A Convolutional Neural Network for Predicting Isometric Force from Highly Sparse Ultrasound Images [0.03%]
基于高度稀疏超声图像的等长力预测卷积神经网络Sonomyonet
Anne Tryphosa Kamatham,Meena Alzamani,Allison Dockum et al.
Anne Tryphosa Kamatham et al.
Ultrasound imaging or sonomyography has been found to be a robust modality for measuring muscle activity due to its ability to image deep-seated muscles directly while providing superior spatiotemporal specificity compared to surface electr...
Single-Belt Versus Split-Belt: Intelligent Treadmill Control via Microphase Gait Capture for Poststroke Rehabilitation [0.03%]
单皮带与分隔皮带：基于步态微相的智能跑步机控制卒中后康复中的应用
Shengting Cao,Mansoo Ko,Chih-Ying Li et al.
Shengting Cao et al.
Stroke is the leading long-term disability and causes a significant financial burden associated with rehabilitation. In poststroke rehabilitation, individuals with hemiparesis have a specialized demand for coordinated movement between the p...
Zhipeng Luo,Yazhou He,Yanbing Xue et al.
Zhipeng Luo et al.
Learning classification models in practice usually requires numerous labeled data for training. However, instance-based annotation can be inefficient for humans to perform. In this article, we propose and study a new type of human supervisi...
Jacob R Boehm,Nicholas P Fey,Ann Majewicz
Jacob R Boehm
Bimanual coordination is critical in many robotic and haptic systems, such as surgical robots and rehabilitation robots. While these systems often incorporate two robotic manipulators for each limb, there may be a missed opportunity to leve...
Xuan Wang,Yu Hen Hu,Ming-Lun Lu et al.
Xuan Wang et al.
A robust computer vision-based approach is developed to estimate the load asymmetry angle defined in the revised NIOSH lifting equation (RNLE). The angle of asymmetry enables the computation of a recommended weight limit for repetitive lift...