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IEEE Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息
IF 3.6 3区 计算机科学 Q1 Social Sciences Pub Date : 2024-04-01 DOI: 10.1109/THMS.2024.3380295
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引用次数: 0
IEEE Transactions on Human-Machine Systems Information for Authors 电气和电子工程师学会《人机系统学报》(IEEE Transactions on Human-Machine Systems)为作者提供的信息
IF 3.6 3区 计算机科学 Q1 Social Sciences Pub Date : 2024-04-01 DOI: 10.1109/THMS.2024.3380297
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引用次数: 0
AI-SenseVision: A Low-Cost Artificial-Intelligence-Based Robust and Real-Time Assistance for Visually Impaired People AI-SenseVision:基于人工智能的低成本视障人士鲁棒实时辅助系统
IF 3.6 3区 计算机科学 Q1 Social Sciences Pub Date : 2024-03-29 DOI: 10.1109/THMS.2024.3375655
Rakesh Chandra Joshi;Nitin Singh;Anuj Kumar Sharma;Radim Burget;Malay Kishore Dutta
Visually impaired people (VIPs) encounter various challenges in their daily lives, and there is a need for portable, user-friendly device for real-time assistance to give them guidance regarding their surroundings. This article presents an artificial-intelligence-based innovative wearable assistive device—artificial intelligence (AI)-SenseVision—to analyze visual and sensory information about the objects and obstacles present in the scene to perceive the surrounding environment. The device is a complete amalgamation of sensor and computer-vision-based technologies that generate auditory information with the name of identified objects or audio warnings for detected obstacles. The performance of the trained deep-learning model is rigorously tested in complex and real-life scenarios using various statistical parameters for experimental validation. Moreover, the trained deep-learning models have been integrated into a low-cost single-board processor to make a standalone cost-effective device. All data processing is done within an optimized single hardware setup, and the user can easily access different modes, such as indoor and outdoor mode, while also enabling object counting in observed scenes. The proposed system has low-cost sensors, multiple operational modes, easy integration, and small volume, making this assistive device helpful for VIPs for independent navigation and collision prevention.
视障人士(VIP)在日常生活中会遇到各种挑战,因此需要便携式、用户友好型设备为他们提供实时帮助,为他们提供有关周围环境的指导。本文介绍了一种基于人工智能的创新型可穿戴辅助设备--人工智能(AI)--SenseVision,用于分析场景中物体和障碍物的视觉和感官信息,从而感知周围环境。该设备是传感器和计算机视觉技术的完美结合,可生成带有识别物体名称的听觉信息或检测到障碍物的音频警告。经过训练的深度学习模型的性能在复杂的真实场景中进行了严格测试,使用各种统计参数进行实验验证。此外,训练有素的深度学习模型已被集成到一个低成本的单板处理器中,成为一个独立的高性价比设备。所有数据处理都在优化的单一硬件设置内完成,用户可以轻松访问不同的模式,如室内和室外模式,同时还能在观察到的场景中进行物体计数。所提出的系统具有传感器成本低、操作模式多、易于集成和体积小等特点,使这一辅助设备有助于贵宾独立导航和防碰撞。
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引用次数: 0
IEEE Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息
IF 3.6 3区 计算机科学 Q1 Social Sciences Pub Date : 2024-03-23 DOI: 10.1109/THMS.2024.3401259
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引用次数: 0
IEEE Transactions on Human-Machine Systems Information for Authors 电气和电子工程师学会《人机系统学报》(IEEE Transactions on Human-Machine Systems)为作者提供的信息
IF 3.6 3区 计算机科学 Q1 Social Sciences Pub Date : 2024-03-23 DOI: 10.1109/THMS.2024.3401265
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引用次数: 0
IEEE Systems, Man, and Cybernetics Society Information 电气和电子工程师学会系统、人和控制论学会信息
IF 3.6 3区 计算机科学 Q1 Social Sciences Pub Date : 2024-03-23 DOI: 10.1109/THMS.2024.3401263
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引用次数: 0
Share Your Preprint Research with the World! 与世界分享您的预印本研究成果
IF 3.6 3区 计算机科学 Q1 Social Sciences Pub Date : 2024-03-23 DOI: 10.1109/THMS.2024.3401261
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引用次数: 0
Thresholds for Perceiving Changes in Friction When Combined With Linear System Dynamics 结合线性系统动力学感知摩擦力变化的阈值
IF 3.6 3区 计算机科学 Q1 Social Sciences Pub Date : 2024-03-22 DOI: 10.1109/THMS.2024.3368358
Robbin Veldhuis;Max Mulder;M. M. van Paassen
Understanding human perception of haptic feedback is critical when designing and regulating these interfaces. In recent years, experiments have been conducted to determine the just-noticeable difference (JND) in mass–spring–damper dynamics, using a hydraulic admittance display in the form of a side-stick. These experiments have resulted in a model of JNDs when interacting with linear second-order dynamics. In real-world applications, however, control force dynamics also commonly include nonlinearities, such as friction. This research extends the current understanding of JNDs in linear systems by including the nonlinear case, where friction is also present. Experiments were conducted to determine JNDs in friction when combined with second-order system dynamics. Results indicate that friction JND can be independent of linear system dynamics as long as its value compared to the linear system's impedance is sufficiently large. As a consequence, friction JND follows Weber's law, also when it is combined with mass–spring–damper dynamics, unless the level of friction approaches the detection threshold, which in turn can be influenced by the linear system dynamics. Based on the findings presented, it is possible to conduct targeted experiments to confirm and add to these initial results.
在设计和调节这些界面时,了解人类对触觉反馈的感知至关重要。近年来,人们利用侧杆形式的液压导纳显示器进行了实验,以确定质量-弹簧-阻尼动力学中的可察觉差异(JND)。这些实验得出了与线性二阶动力学相互作用时的 JND 模型。然而,在实际应用中,控制力动力学通常还包括非线性因素,如摩擦。本研究通过将摩擦也存在的非线性情况纳入其中,扩展了目前对线性系统中 JND 的理解。通过实验确定了摩擦与二阶系统动力学相结合时的 JND。结果表明,只要摩擦 JND 与线性系统阻抗相比的值足够大,摩擦 JND 就可以独立于线性系统动力学。因此,摩擦 JND 遵循韦伯定律,当它与质量-弹簧-阻尼动态相结合时也是如此,除非摩擦水平接近检测阈值,而检测阈值又会受到线性系统动态的影响。基于上述研究结果,可以进行有针对性的实验,以确认和补充这些初步结果。
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引用次数: 0
Singularity-Free Finite-Time Adaptive Optimal Control for Constrained Coordinated Uncertain Robots 受限协调不确定机器人的无奇点有限时间自适应优化控制
IF 3.5 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-03-21 DOI: 10.1109/THMS.2024.3397351
Shenquan Wang;Wen Yang;Yulian Jiang;Mohammed Chadli;Yanzheng Zhu
This article investigates the singularity-free finite-time adaptive optimal control problem for coordinated robots, where the position and velocity are constrained within the asymmetric yet time-varying ranges. Different from the existing results concerning constrained control, the imposed feasibility conditions are relaxed by skillfully integrating a nonlinear state-dependent function into the backstepping design procedure. Therein, the typical feature of the designed finite-time controller lies in the application of the modified smooth switching function, rendering the designed controller powerful enough to eliminate singularity problem. Notably, with the aid of the constructed optimal cost function and neural network-based critic architecture, the optimal control law is established under the backstepping design framework. It is theoretically verified that the designed controller is of satisfied optimization and finite-time tracking ability, and desired constrained objective in the meanwhile. The validity of the resulting control algorithm is eventually substantiated via two robotic manipulators.
本文研究了协调机器人的无奇点有限时间自适应最优控制问题,在该问题中,位置和速度被限制在不对称但随时间变化的范围内。与现有的约束控制结果不同的是,通过巧妙地将非线性状态依赖函数整合到反步进设计程序中,放宽了强加的可行性条件。因此,所设计的有限时间控制器的典型特征在于应用了修正的平滑切换函数,从而使所设计的控制器具有足够的功能来消除奇异性问题。值得注意的是,借助构建的最优成本函数和基于神经网络的批判架构,在反步进设计框架下建立了最优控制法则。理论验证了所设计的控制器具有满足优化和有限时间跟踪的能力,同时还达到了预期的约束目标。最终通过两个机器人机械手证实了所产生的控制算法的有效性。
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引用次数: 0
A Review of Robot-Assisted Hand Spasticity Assessment 机器人辅助手部痉挛评估综述
IF 3.5 3区 计算机科学 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Pub Date : 2024-03-21 DOI: 10.1109/THMS.2024.3393014
Hao Yu;Alyson Nelson;Mustafa Suphi Erden
Spasticity is a common neuromuscular abnormality following upper motor neuron lesions. Conventionally, spasticity is assessed through manual clinical scales, which have limitations due to the subjectivity involved. The development of rehabilitation robotics introduced new solutions to this problem, producing novel robot-assisted spasticity assessment approaches. In this article, we present the current state and challenges of robot-assisted hand spasticity assessment (RAHSA) based on a review of instrumented clinical scales, biomechanical and neurophysiological measures, and medical imaging methods for upper extremity spasticity assessment between January 2000 and February 2023. The characteristics of hand anatomy and spasticity symptoms make it challenging to develop RAHSA approaches and corresponding robotic systems. Although the combination of hand robots and instrumented assessment methods has evoked studies on RAHSA, more research is needed on the new assessment approaches fusing neurological and nonneurological measures and novel robotic systems specifically designed for hand spasticity assessment.
痉挛是上运动神经元病变后常见的神经肌肉异常。传统的痉挛评估方法是通过人工临床量表进行评估,但由于存在主观性,这种方法存在局限性。康复机器人技术的发展为这一问题带来了新的解决方案,产生了新颖的机器人辅助痉挛评估方法。本文在回顾2000年1月至2023年2月期间用于上肢痉挛评估的仪器临床量表、生物力学和神经生理学测量方法以及医学成像方法的基础上,介绍了机器人辅助手部痉挛评估(RAHSA)的现状和挑战。手部解剖和痉挛症状的特点使得开发 RAHSA 方法和相应的机器人系统具有挑战性。虽然手部机器人和仪器评估方法的结合已经引起了对RAHSA的研究,但对于融合神经学和非神经学测量方法的新评估方法以及专为手部痉挛评估设计的新型机器人系统,还需要进行更多的研究。
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引用次数: 0
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