In this paper we describe the design and evaluation of a passive lower limb assistive exoskeleton based on omnidirectional rehabilitation vehicle. According to leg dynamics during assisted walking, optimize parameters make obtain most positive energy. We employ MACCEPA (mechanically adjustable compliance controllable equilibrium position actuator) in which generates constant torque knee joint. Experiments were performed injured people their results verify system effect reducing physical power.

Ovarian serous cystadenocarcinoma is a common malignant tumor of female genital organs. Treatment generally less effective as patients are usually diagnosed in the late stage. Therefore, well-designed prognostic marker provides valuable data for optimizing therapy. In this study, we analyzed 303 samples ovarian and corresponding RNA-seq data. We observed correlation between gene expression patients’ survival eventually established risk assessment model five factors using Cox proportional...

The design and implementation of an omnidirectional lower limbs rehabilitative training robot are described. is designed to improve patient's locomotion, who suffers from impairment in walking ability after neurology injuries. characterized with three key points as following: 1) a wheeled mechanical structure, 2) gait phase analysis system using wearable press sensors 3) real-time communication mechanism. With the specific can mobile within any radius direction. detects human subject's...

Previous research has shown that virtual reality (VR) can be used to treat a number of mental disorders (anxiety disorders, phobias). Therefore, this study speculates intelligent relaxation technology with experience is helpful for emotional recovery and stress relief. The subjects were randomly assigned the natural environment through 360-degree (the experimental group) or traditional 2D video control group). Subjects will induced respectively using HMD after desktop screen music 15 minutes...

This paper focuses on adaptive velocity compensation along state axis aiming at dent and friction force ripples using parameterized iterative learning control (ILC) for permanent magnet linear synchronous motor (PMLSM) executing same instruction repeatedly. Velocity are primarily attributed to periodic disturbances such as the gliding in PMLSM. The consists of end effect cogging forces. key idea this disturbance method is use past information one trajectory period update current adaptation...

We present a self-supervised approach to estimate flow in camera image and top-view grid map sequences using fully convolutional neural networks the domain of automated driving. extend existing approaches for optical estimation by adding regularizer expressing motion consistency assuming static environment. However, as this assumption is violated other moving traffic participants we also mask scale regularization. Adding regularization towards improves convergence accuracy. Furthermore,...

The paper proposes an obstacle-avoidance control algorithm based on the fuzzy matching of obstacle environment. is mainly used in omni directional lower limbs rehabilitation robot. method generates eigen value environment using detected angle information boundary, and matches with known to realize design enhances patient safety decreases demand. This proves feasibility effectiveness through theoretical derivation simulation results.

A power plant boiler is widely used as a heat source for generating steam through fuel combustion. Operations trainees at NIPSCO coal-fired stations receive short-term training in operation procedures and are given 2D, non-scaled representations of the plant’s steam, coal cycle, limited key components. This study focused on pursuing more efficient way representation by using three-dimensional (3D) numerical model Virtual Reality platform. Coal air injected into ten cyclones to undergo...

A measuring method of hip and knee joint angles based on omni-directional lower limb rehabilitation platform is proposed. Several ultrasonic modules are vertically fixed inside the platform, relative distances between surface each detected circularly in walk process, at any time obtained according to geometrical relationship. Joint angle patterns healthy people acquired by robust fitting then abnormal gait effectively evaluated comparing pattern differences dyscinesia patients people. The...

In this paper, an ultrasonic gait detection and analysis method is introduced. The proposed system, which fixed on omni-directional lower limb rehabilitation robot, can get the parameters of subjects including step length, speed, frequency, etc. A set symmetry index to walking subjects, based cycle phase, swing instantaneous velocity position subject. Experimental results show that system timely information it proved subject be effectively analyzed by suggested index.

Adopted theory of BP neural network to realize pattern identification obstacle. Constructed a kind classifier based on algorithm, according the characteristics omnidirectional mobile robot. Took distance obstacle acquired by ultrasound sensor as input, classification expected output, then, trained parameter through training data in sample library. Simulated process with Matlab software. During training, this could gain less error and correct result adopting testing test classifier. Showed...

The Flexiforce sensor was used to build the muscle expansion force measuring platform detect myodynamia, and analyze muscle's fatigue curve frequency range with a certain of chatter generated by muscle. BP neural network theory is applied training arm training, myodynamia information collected taken as input, expected classification mode output, parameters are trained data in sample library. matlab software process simulation. Achieve evaluation prediction state movement, find an optimal for...

This paper mainly researches the motion law of walking-aid robot. The robot is used to realize target that can be controlled. main function assist user walk. Therefore, when studying movement robot, this aims at human-robot interaction during moving, which includes user's walking gait and force. interface usually force applied by on handrail. In order make better meet habit, pressure increased as interface. According above research contents, first introduces data collection system then...

All countries in the world today have different degrees of aging. In order to help elderly walk properly, based on analysis about common walking stick, this paper developed a smart stick robot which meets habits elderly. The stick's use process is divided into supporting state and non-support state. By analyzing variation force, moment angle between users under two conditions, mathematical model established. structure movement robot, dynamic At same time, admittance control used satisfy...

The classification of kitchen waste is great significance for improving environmental quality and ensuring public health safety. With the development deep learning technology, automatically classifying garbage has become a hot topic research. In this paper, algorithm based on Residual Network Transfer Learning developed, in which adjusted selected as base structure. Use network model trained ImageNet pre-training model, adopted model-based method optimizing parameters. Finally, experiment...

For the Fuel Cell Engine, air compressor driving motor is controlled by high frequency inverter system. Because of period interruption caused commutation and limitation switch frequency, there are more harmonic components in during region. In this paper, analysis simulation presented different voltage modulation techinques. The results indicated that Pulse Amplitude Modulation (PAM) control provides superior characteristics higher amplitude fundamental component compared with PWM Hence...

Rehabilitation robot is a type of assistant recovery equipment designed particularly for the sick people having difficulty in walking to get gait rehabilitation training, research on joint flexibility great significance program making control. The three closed-loops PID control method was proposed lower-limb MACCEPA (mechanically adjustable compliance and controllable equilibrium position actuator) with flexible structure. simulation model system controller built by organization module set...

Through the research of robot system hybrid force/position control for robot, In view in contact with environment, Force a certain direction, position deviation direction is ignored.Therefore, when control, equivalent redundant robots.In this paper, method proposed to optimize force zero space vector Cartesian space.Finally, experimental verification.