A5035752332- Muscle activation and electromyography studies
- Ferroelectric and Negative Capacitance Devices
- Hand Gesture Recognition Systems
- 2D Materials and Applications
- Gaze Tracking and Assistive Technology
- Tactile and Sensory Interactions
- Advanced Sensor and Energy Harvesting Materials
- Advanced Memory and Neural Computing
- Teleoperation and Haptic Systems
- Robot Manipulation and Learning
- Graphene research and applications
- Virtual Reality Applications and Impacts
- Thermoregulation and physiological responses
- Advanced Neural Network Applications
- Robotics and Sensor-Based Localization
- Climate Change and Health Impacts
- Visual Attention and Saliency Detection
- Nanowire Synthesis and Applications
- Infrared Thermography in Medicine
- Advancements in Semiconductor Devices and Circuit Design
- 3D IC and TSV technologies
Xi'an Jiaotong University
2021-2025
University of Science and Technology Beijing
2023-2024
The exoskeleton as functional wearable equipment has been increasingly used in working environments. However, the effects of wearing an on human thermal responses are still unknown. In this study, 10 male package handlers were exposed to °C (COLD) and 25 (TEMP) ambient temperatures while performing a kg lifting task (LIFTING) sedentary (REST) both with (EXO) without (WEXO). Thermal responses, including metabolic rate mean skin temperature (MST), continuously measured. comfort, sensation...
Two-dimensional (2D) MoS2 is an excellent candidate channel material for next-generation integrated circuit (IC) transistors. However, the reliability of great concern due to serious threat vacancy defects, such as sulfur vacancies (VS). Evaluating impact defects on service transistors crucial, but it has always been limited by difficulty in systematically tracking and analyzing changes effects environment. Here, a simulated initiator established deciphering evolution their influence The...
Teleoperation robot systems can help humans perform tasks in unstructured environments. However, non-intuitive control interfaces using only a keyboard or joystick and physiological tremor reduce the performance of teleoperation. This paper presents an intuitive interface based on wearable device gForcePro+ armband. Two armbands are worn at centroid upper arm forearm, respectively. Firstly, kinematics model human is established, inertial measurement units (IMUs) used to capture position...
In the traditional teleoperation system, operator locates object using real-time scene information sent back from robot terminal; however, localization accuracy is poor and execution efficiency low. To address issues, we propose an detection method for teleoperated robot. First, improved classic YOLOv5 network model to produce superior performance named YOLOv5_Tel. On basis of model, feature pyramid was changed a bidirectional (BiFPN) module achieve weighted fusion mechanism. The coordinate...
The emergence of wearable myoelectric armbands has greatly enhanced the convenience and efficiency users in utilizing gesture control interfaces. However, practical applications, electrode shift can significantly degrade performance recognition models. To improve this situation, study first proposes an fast correction (ESFC) method for after rewearing device. Subsequently, a model online update framework based on unsupervised subdomain adaptation is proposed to handle during usage. In...
Individual physiological differences constrain the cross-user application of joint angle estimation models based on surface electromyography (sEMG) signals. Current methods for myoelectric often involve use or optical sensors, which increases training burden and costs new users. To enable users to perform solely using sEMG this study proposes a hybrid unsupervised domain adaptation network that combines multi-order metric adversarial mechanisms (MADAN). MADAN aims minimize distribution...
<title>Abstract</title> As transistors are scaled to smaller dimensions their static power increases. Combining two-dimensional (2D) channel materials with complementary metal–oxide–semiconductor (CMOS) logic architectures could be an effective solution this issue due the excellent field-effect properties of 2D materials. However, have limited polarity control. Here, we report a pseudo-CMOS architecture for sub-picowatt computing that uses self-biased molybdenum disulfide transistors. The...