Walking Training System Research Articles

Training to Improve the Landing of an Uninjured Leg in Crutch Walk Using AR Technology to Present an Obstacle

A patient who unexpectedly sustains a lower leg injury often uses crutches for walking, to both assist the patient and prevent further injury until a full recovery is made. In this study, a novel crutch walk training system was developed; a head-mounted display (HMD) was introduced to present a virtual obstacle for trainees using crutches. Through repetitions of the training, it was expected that the trainees would improve their overall body stability. Healthy subjects participated in experimental training exercises using the developed training system. As a result, the participants acquired the skill of walking well with crutches without losing their body balance significantly, even in the event of facing a virtual obstacle, during the five training sessions.

Crutch Walk Training System with Augmented Reality Presentation of Virtual Obstacle during Swing Phase of Healthy Limb

Crutch Walk Training System with Augmented Reality Presentation of Virtual Obstacle during Swing Phase of Healthy Limb

Immersive Walking Training System with Autonomous Treadmill Controlled by User’s Velocity

Immersive Walking Training System with Autonomous Treadmill Controlled by User’s Velocity

Study on Human Behavior Classification by Using High-Performance Shoes Equipped with Pneumatic Actuators

In Japan, accidents involving the falling of elderly people are increasingly becoming a problem. To solve this problem, walking training is effective for preventing falls of elderly people. In this study, a walking training system was developed in which high-performance shoes are used to improve the efficiency of walking training. The high-performance shoes have three functions: 1) measurement of plantar pressure using changes in the inner pressure of the insole, 2) leg movement measurement using a six-axis motion sensor, and 3) applying stimulus to the sole of the foot by changing the shape of the insole. A unique rubber element was developed for these functions. Furthermore, a system to predict the behavior of patients during walking training was developed. Based on experimental results, four types of behavior of patients during walking training were predicted. Moreover, leave-one-person-out cross validation was performed by the random forest (RF) machine-learning algorithm, and the F-measure was calculated. As a result, the four types of behavior were classified with an F-measure of 78.6%.

Study on a New Type of Walking Training System with Human Compatibility

Study on a New Type of Walking Training System with Human Compatibility

Crutch Walk Training System with Augmented Reality Presentation of Virtual Obstacles

Crutch Walk Training System with Augmented Reality Presentation of Virtual Obstacles

Place and Possibilities of the Robotic System Lokomat in the Rehabilitation of Patients After Ischemic Stroke

Ischemic stroke is still a very common disease with quite serious consequences. Modern medicine considers in this regard its main task in the curation of such patients, the maximum possible restoration of the functions of the affected brain and the volume of its control over the body. Due to the rapid development of medicine associated with the emergence of innovative technologies in the field of rehabilitation, hardware methods of rehabilitation today have gone far ahead and have in their arsenal a lot of high-tech tools. For this purpose, a search is being made for means of increasing the activity of brain cells located in the affected area. Of particular importance in this regard are the methods of rehabilitation in the early recovery period after ischemic stroke using robotic methods of mechanotherapy, one of which is the use of the Lokomat system. Among them, a prominent place is occupied by the walking training system - Lokomat, consisting of robotic orthoses and a body support device, which are combined with a treadmill. Information about the successful use of Lokomat during the rehabilitation of patients with movement disorders is still scattered, and this required their generalization and understanding. The main advantage of this system is the ability to effectively control and ensure high intensity, repeatability (reproducibility) and purposefulness of the trained movements. The convincing advantages of automated training on the Lokomat system compared to traditional rehabilitation in terms of various clinical indicators in patients with post-stroke hemiparesis have been identified. It was shown that in patients trained on the Lokomat system, a single support on the paretic leg intensified, which contributed to a more symmetrical gait. This system is more than other devices and technologies designed for learning to walk, in line with the modern approach to the restoration of impaired motor functions. The inclusion of training sessions on the Lokomat robotic system in the comprehensive treatment of patients with post-stroke hemiparesis leads to a marked improvement in movement skills. This is associated with a pronounced restructuring against the background of its use of the motor stereotype of walking, which makes it possible to increase the effectiveness of recreational activities in post-stroke patients.

Study on walking training system by using both rubber artificial muscles and high-performance shoes with human compatibility

Study on walking training system by using both rubber artificial muscles and high-performance shoes with human compatibility

A study on the walking training system with high performance shoes

A study on the walking training system with high performance shoes

A Study on Walking Training System with High Performance Shoes

A Study on Walking Training System with High Performance Shoes

Development of High-Value-Added Walking Training System

Development of High-Value-Added Walking Training System

高付加価値歩行訓練システムに関する研究

高付加価値歩行訓練システムに関する研究

Development of a human friendly walking and running training system

Increasing attention is being paid to the research of heart-rate-based training to improve the safety and efficiency of exercises. The present study develops a walking and running exercise training system, which is able to provide a more human friendly way to adjust exercise intensity by measuring user's heart rate in real-time. Specifically, the proposed training system makes it possible for the user to control the speed of the treadmill based on the results of heart rate analysis. Two types of exercise intensity adjustment approaches are tested by four health human subjects. From the frequency analysis of heart rates, it was found that, for the same type of intensity adjustment, the subjects may feel different stress with respect to whether he/she has been used to do exercise or not.

Study on Walking Training System using High-Performance Shoes constructed with Rubber Elements

The number of accidental falls has been increasing among the elderly as society has aged. The main factor is a deteriorating center of balance due to declining physical performance. Another major factor is that the elderly tend to have bowlegged walking and their center of gravity position of the body tend to swing from side to side during walking. To find ways to counteract falls among the elderly, we developed walking training system to treat the gap in the center of balance. We also designed High-Performance Shoes that showed the status of a person's balance while walking. We also produced walk assistance from the insole in which insole stiffness corresponded to human sole distribution could be changed to correct the person's walking status. We constructed our High- Performances Shoes to detect pressure distribution during walking. Comparing normal sole distribution patterns and corrected ones, we confirmed that our assistance system helped change the user's posture, thereby reducing falls among the elderly.

高付加価値歩行訓練システムに関する研究

Recently, it is reported that the number of fall down accidents in elderly people has been increasing along with the progress of aging society. The main factor of fall down accident is the gap of the center of balance from declining in physical performance. Elderly people need to recover the declined in physical performance to prevent the fall down. One way to prevent the motion, it is walking training because it can do with low-stress. Then, we focused on the shoes which is used frequently and we develop the walking training system using the high-performance shoes. In this study, we developed the high-performance shoes which has two systems. One is the visual showing system that can see the walking state in real time, the other is walking assist system using pneumatics to lighten the burden that imposed on the body.

1F21 高付加価値歩行訓練システムに関する研究 : 歩行訓練用ゴム人工筋の基礎特性

1F21 高付加価値歩行訓練システムに関する研究 : 歩行訓練用ゴム人工筋の基礎特性

Study on Presentation System for Walking Training Using High-Performance Shoes

<div class=""abs_img""><img src=""[disp_template_path]/JRM/abst-image/00270006/13.jpg"" width=""300"" /> Proposed walking training system</div>The number of accidental falls has been increasing among the elderly as society has aged. The main factor is a deteriorating center of balance due to declining physical performance. Another major factor is that the elderly tend to have bowlegged walking and their center of gravity position of the body tend to swing from side to side during walking. To find ways to counteract falls among the elderly, we developed walking training system to treat the gap in the center of balance. We also designed High-Performance Shoes that showed the status of a person’s balance while walking. We also produced walk assistance from the insole in which insole stiffness corresponding to human sole distribution could be changed to correct the person’s walking status. We constructed our High-Performances Shoes to detect pressure distribution during walking. Comparing normal sole distribution patterns and corrected ones, we confirmed that our assistance system helped change the user’s posture, thereby reducing falls among the elderly.

Study on a new type of walking training system using high performance shoes

The High Energy Stereoscopic System (HESS) is an array of imaging atmospheric Cherenkov telescopes (IACTs) located in the Khomas highland in Namibia. It was built to detect Very High Energy (VHE >100GeV) cosmic gamma rays. Since 2003, HESS has discovered the majority of the known astrophysical VHE gamma-ray sources, opening a new observational window on the extreme non-thermal processes at work in our universe. HESS consists of four 12-m diameter Cherenkov telescopes (CT1–4), which started data taking in 2002, and a larger 28-m telescope (CT5), built in 2012, which lowers the energy threshold of the array to 30GeV. The cameras of CT1–4 are currently undergoing an extensive upgrade, with the goals of reducing their failure rate, reducing their readout dead time and improving the overall performance of the array. The entire camera electronics has been renewed from ground-up, as well as the power, ventilation and pneumatics systems, and the control and data acquisition software. Only the PMTs and their HV supplies have been kept from the original cameras. Novel technical solutions have been introduced, which will find their way into some of the Cherenkov cameras foreseen for the next-generation Cherenkov Telescope Array (CTA) observatory. In particular, the camera readout system is the first large-scale system based on the analog memory chip NECTAr, which was designed for CTA cameras. The camera control subsystems and the control software framework also pursue an innovative design, exploiting cutting-edge hardware and software solutions which excel in performance, robustness and flexibility. The CT1 camera has been upgraded in July 2015 and is currently taking data; CT2-4 have been upgraded in fall 2016. Together they will assure continuous operation of HESS at its full sensitivity until and possibly beyond the advent of CTA. This contribution describes the design, the testing and the in-lab and on-site performance of all components of the newly upgraded HESS camera.

Limb contribution to increased self-selected walking speeds during body weight support in individuals poststroke

Individuals poststroke walk at faster self-selected speeds under some nominal level of body weight support (BWS) whereas nonimpaired individuals walk slower after adding BWS. The purpose of this study was to determine whether increases in self-selected overground walking speed under BWS conditions of individuals poststroke can be explained by changes in their paretic and nonparetic ground reaction forces (GRF). We hypothesize that increased self-selected walking speed, recorded at some nominal level of BWS, will relate to decreased braking GRFs by the paretic limb. We recruited 10 chronic (>12 months post-ictus, 57.5±9.6 y.o.) individuals poststroke and eleven nonimpaired participants (53.3±4.1 y.o.). Participants walked overground in a robotic device, the KineAssist Walking and Balance Training System that provided varying degrees of BWS (0–20% in 5% increments) while individuals self-selected their walking speed. Self-selected walking speed and braking and propulsive GRF impulses were quantified. Out of 10 poststroke individuals, 8 increased their walking speed 13% (p=0.004) under some level of BWS (5% n=2, 10% n=3, 20% n=3) whereas nonimpaired controls did not change speed (p=0.470). In individuals poststroke, changes to self-selected walking speed were correlated with changes in paretic propulsive impulses (r=0.68, p=0.003) and nonparetic braking impulses (r=−0.80, p=0.006), but were not correlated with decreased paretic braking impulses (r=0.50 p=0.14). This investigation demonstrates that when individuals poststroke are provided with BWS and allowed to self-select their overground walking speed, they are capable of achieving faster speeds by modulating braking impulses on the nonparetic limb and propulsive impulses of the paretic limb.

1P2-L10 高機能靴を用いた歩行訓練用提示システムに関する研究

Recently, it is reported that the number of fall down accidents in elderly people has been increasing along with the progress of aging society. The main factor of fall down accident is the gap of the center of balance from declining in physical performance. Elderly people need to recover the declined in physical performance to prevent the fall down. One way to prevent the motion, it is walking training because it can do with low-stress. Then, we focused on the shoes which is used frequently and we develop the walking training system using the high-performance shoes. In this study, we developed the high-performance shoes which has two systems. One is the visual showing system that can see the walking state in real time, the other is walking assist system using pneumatics to lighten the burden that imposed on the body.