The surface electromyography (sEMG) signal has been used for volitional control of robotic assistive devices. There are still challenges in improving system performance accuracy and processing to remove systematic noise. A sEMG-controlled ambulation exoskeleton was developed this study, aiming achieve harmonic interactions between a user the system. gait cycle duration (GCD) extracted from sEMG signals using autocorrelation algorithm Bayesian redundant fusion algorithm. GCDs various walking...

As an important application of spatial databases in pathology imaging analysis, cross-comparing the boundaries a huge amount segmented micro-anatomic objects demands extremely data- and compute-intensive operations, requiring high throughput at affordable cost. However, performance database systems has not been satisfactory since their implementations operations cannot fully utilize power modern parallel hardware. In this paper, we provide customized software solution that exploits GPUs...

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...

Human-machine interface technology is fundamentally constrained by the dexterity of motion decoding. Simultaneous and proportional control can greatly improve flexibility smart prostheses. In this research, a new model using ensemble learning to solve angle decoding problem proposed. Ultimately, seven models for from surface electromyography (sEMG) signals are designed. The kinematics five angles metacarpophalangeal (MCP) joints estimated sEMG recorded during functional tasks. estimation...

In response to the need for an exoskeleton quickly identify wearer’s movement mode in mixed control mode, this paper studies impact of different feature parameters surface electromyography (sEMG) signal on accuracy human motion pattern recognition using multilayer perceptrons and long short-term memory (LSTM) neural networks. The sEMG signals are extracted from seven common patterns daily life, time domain frequency features build a parameter dataset training classifier. Recognition lower...

With accelerating urbanization and worsening traffic congestion, optimizing signal systems to improve road throughput alleviate congestion has become a critical issue. This study proposes short-term prediction model based on real-world topologies typical four-way, eight-phase control scheme. The accounts for flow disparities across directions phase change frequencies, integrating these factors into an optimization objective global optimization. structure of this function is similar...

A nanoscale representative volume element has been developed to investigate the effect of interphase geometry and property on mechanical behavior silica/epoxy resin nanocomposites. The role interphase–matrix bonding was also examined. Results suggested that modulus interfacial conditions had significant influence effective stiffness nanocomposites, while its sensitivities with respect both thickness gradient minimal. stiffer demonstrated a higher load-sharing capacity, which increased stress...

In a traction power supply system, the design of substations significantly influences both system’s operational stability and investment costs, while energy management strategy flexible affects overall expenses. This study proposes novel two-stage system optimization method that addresses configuration control parameters substations. The first stage focuses on configuration, including optimal location capacity second stage, substations, particularly droop rate reversible converters, are...

In the system of lower limb rehabilitation robot, perception plays two major important roles as follows. 1) judge wearer's movement intent in order to determine gait human body during walking, thus provide basis for control system; 2) revise assist force provided by through sensing feedback. After analyzing needed information an intelligent multi-senor is designed based on surface electromyography information, joint angle and human-robot interaction information. The includes EMG sensors,...

To efficiently transmit electric power to consumers, the lines need be inspected routinely for early fault detection. Thus, line inspection robots are designed replace tedious and dangerous manual using linemen or helicopters. However, most of existing heavy, which make them slow prone external wind disturbance. This paper developed a lightweight dual‐arm robot investigates its robustness disturbance on lab‐scale structure. The dynamic equations derived Lagrangian equation appropriate motor...

Aero-turbines usually work in various non-stationary and harsh operating environments. Its blades easily appear early crack faults long-time operation, it is difficult to dig out discriminant features of crack. To solve these problems, the paper, a novel intelligent approach for diagnosis turbine using three-dimensional blade tip clearance presented. In order improve feature learning ability obtain better generalization ability, paper firstly develops deep method based on belief networks...

A CNN-LSTM hybrid model for ankle joint motion recognition based on surface electromyography (sEMG) signals is proposed in this paper. The traditional method to manually extract the features from sEMG and then use machine learning train model, which relies prior knowledge requires a lot of time test select good obtain high classification accuracy. In paper, used identify four movements (dorsiflexion, plantar flexion, foot varus eversion). consists two CNN layers three LSTM layers. can learn...

This paper aims at the problems of slow speed for existing high-voltage line inspection robot moving over obstacles, and designs an foreign bodies removing walking on twin bundle conductors, which can move spacers counterweights directly fast. In this paper, motion simulation shows that a using four symmetrical driving wheels not spacer, thus asymmetrical wheel is designed. And through prototype experiment, it proved with fast counterweights. only provides feasible efficient solution...

Due to working conditions, workers, teachers, doctors and other occupations need stand or squat work, while maintaining a long standing squatting position can lead muscle soreness trigger series of health problems. In response such problems, we designed passive, lightweight, easy-to-wear weight-supported exoskeleton. The exoskeleton based on human gait characteristics sitting characteristics, the use bionic curve modeling human-machine multi-link design, achieve coordination between...

Surface electromyography (sEMG) is a useful tool for revealing the underlying musculoskeletal dynamic properties in human body movement. In this paper, biomechanical model which relates sEMG and knee joint torque proposed. First, relating to skeletal muscle activation considering frequency amplitude built. Second, contraction based on sliding-filament theory developed reflect physiological structure micro mechanical of muscle. The force displacement vectors are determined transformation from...