A5077299998- Muscle activation and electromyography studies
- Prosthetics and Rehabilitation Robotics
- Stroke Rehabilitation and Recovery
- Neuroscience and Neural Engineering
- Tactile and Sensory Interactions
- EEG and Brain-Computer Interfaces
- Gaze Tracking and Assistive Technology
- Vehicle Dynamics and Control Systems
- Video Analysis and Summarization
- Cardiovascular and exercise physiology
- Winter Sports Injuries and Performance
- Cardiovascular Function and Risk Factors
- Virtual Reality Applications and Impacts
- Assistive Technology in Communication and Mobility
- Advanced Sensor and Energy Harvesting Materials
- Sports Dynamics and Biomechanics
- Interactive and Immersive Displays
- Vehicle Noise and Vibration Control
- Hand Gesture Recognition Systems
- Cardiovascular Effects of Exercise
Zhejiang Lab
2023-2024
Maebashi Institute of Technology
2015-2021
Emory University
2021
Beijing Jiaotong University
2020
Beijing Information Science & Technology University
2020
Beijing University of Posts and Telecommunications
2020
The University of Tokyo
2015
A power-assisted exoskeleton should be capable of reducing the burden on wearer’s body or rendering his her work improved and efficient. More specifically, easy to wear, simple use, provide power assistance without hindering movement. Therefore, it is necessary evaluate backdrivability, range motion, power-assist capability such an exoskeleton. This evaluation identifies pros cons exoskeleton, serves as basis for its subsequent development. In this study, a lightweight upper-limb with high...
This study aims to develop a light and wearable exoskeleton controlled by Electromyography (EMG) signals for upper extremity augmentation support the elbow shoulder joints. has four degrees of freedom, one joint three joint. The flexion extension movements joints are actively powered wearer other two DoFs freely passive. processing EMG mechanism control system developed. verified.
In this paper, a novel wearable lightweight exoskeleton with full degrees of freedom for upper-limb power assistance is developed. It controlled by surface electromyography(sEMG) signals the agonist muscle alone and aims to provide 30% elbow shoulder joints flexion/extension movement. exoskeleton, there are two identical arms back support pack. Each arm consists active four passive joints, in which implement movement whereas fully follow wearer's other motions. Moreover, rotatable telescopic...
摘要: 外骨骼机器人穿戴于人体上,可以作为一种助力、增强或者交互的工具,应用于康复、遥操作等领域。针对上肢外骨骼机器人的人机交互控制问题,提出一种上肢外骨骼机器人的阻抗控制模型,并建立了一体化关节的动力学模型,详细设计了单关节的阻抗控制方法。基于外骨骼机器人在人机交互控制中的随动任务特性,设计了基于力的阻抗控制方法以及基于位置的阻抗控制方法。针对阻抗控制模型为二阶系统的特点,提出了阻抗控制参数优化分析的方法。建立了单关节阻抗控制的数值仿真模型,通过仿真试验分析了惯性参数、阻尼参数、刚度参数以及人机接触刚度对阻抗控制性能的影响。开展了单关节系统的阻抗控制硬件试验。试验结果表明单关节系统的触碰检测、重力补偿以及阻抗控制均可实现,并且操作者与关节系统可以实现协同运动。
Brain–Machine Interfaces (BMIs) have attracted much attention in recent decades, mainly for their applications involving severely disabled people. Recently, research has been directed at enhancing the ability of healthy people by connecting brains to external devices. However, there are currently no successful reports focused on robotic power augmentation using electroencephalography (EEG) signals shoulder joint. In this study, a method is proposed estimate shoulder’s electromyography (EMG)...
American-style football (ASF) athletes are at risk for the development of concentric left ventricular hypertrophy (C-LVH), an established cardiovascular factor in general population. We sought to address whether black race is associated with acquired C-LVH collegiate ASF athletes.Collegiate from two National Collegiate Athletic Association Division-I programmes were recruited as freshmen between 2014 and 2019 analysed over 3 years. Demographics (neighbourhood family income) repeated clinical...
Brain-Machine Interface (BMI) has been considered as an effective way to help and support both the disabled rehabilitation healthy individuals’ daily lives use their brain activity information instead of bodies. In order reduce costs control exoskeleton robots better, we aim estimate necessary torque for a subject from his/her electroencephalography (EEG) signals when using robot perform power assistance upper limb without external sensors nor electromyography (EMG) sensors. this paper,...
Abstract Within the field of human–computer interaction, data gloves play an essential role in establishing a connection between virtual and physical environments for realization digital human. To enhance credibility human‐virtual hand interactions, we aim to develop system incorporating glove‐embedded technology. Our proposed collects wide range information (temperature, bending, pressure fingers) that arise during natural interactions afterwards reproduce them within environment....
Within the field of human-computer interaction, data gloves play an essential role in establishing a connection between virtual and physical environments for realization digital human. To enhance credibility human-virtual hand interactions, we aim to develop system incorporating glove-embedded technology. Our proposed collects wide range information (temperature, bending, pressure fingers) that arise during natural interactions afterwards reproduce them within environment. Furthermore,...
Electroencephalography neurofeedback (EEG-NFB) training can induce changes in the power of targeted EEG bands. The objective this study is to enhance and evaluate specific spectral density that brain-machine interface (BMI) users reliably generate for augmentation through EEG-NFB training. First, we constructed an system augmentation. Then, three subjects were assigned NFB stages, based on a 6-day consecutive session as one stage. received real-time feedback from their signals by robotic arm...
Electromyography (EMG) has been frequently proposed as the driving signal for controlling powered exoskeletons. This study aims to develop a light and wearable upper extremity exoskeleton controlled by EMG signals support elbow shoulder joints. four degrees of freedom, one joint three joint. The flexion extension movements are actively wearer other two Dof joints freely passive. processing mechanism control system developed. prototype verified.
Road roughness is usually considered as a cause of drivers' discomfort. However, steering pulls caused by road such ruts also contribute to the higher risk accidents. In order reduce risk, maintenance necessary. objective evaluations influences on drivers were rarely investigated. this study, with occurring in process lane change rutted focused, an evaluation based Electromyography signals (EMG signals) proposed. A experiment and DS are conducted for evaluation.
A study of an exoskeleton robot is performed extensively from demand the field nursing and physical distribution in recent years. Much developed at present employing EMG sensor or force/torque as a control signal. But has problems such perspiration, misalignment individual difference. Also, common with sensors force sensors, there problem that cost increases number increases. Therefore, we power assistance system for upper limb without EMG/force sensor. In this paper, describe method...