Motion control of joystick interfaced electric wheelchair for improvement of safety and riding comfort

Choi, Jung Hyun; Chung, Younghun; Oh, Sehoon

doi:10.1016/j.mechatronics.2019.03.005

Cited by 23 publications

(11 citation statements)

References 20 publications

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“…Controllers are not only used in the video games industry, but also in other areas, for example: to remotely control underwater vehicles [9] and to control wheelchairs [6]. Other types of controllers such as isometric controllers can be useful for users with spasticity or complex movement disorders [7].…”

Section: Fig 2 Dualshock Controller [27]mentioning

confidence: 99%

Using Brain-Computer Interface Technology as a Controller in Video Games

Zając

Paszkiel

2020

IAPGOS

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Nowadays, control in video games is based on the use of a mouse, keyboard and other controllers. A Brain Computer Interface (BCI) is a special interface that allows direct communication between the brain and the appropriate external device. Brain Computer Interface technology can be used for commercial purposes, for example as a replacement for a keyboard, mouse or other controller. This article presents a method of controlling video games using the EMOTIV EPOC + Neuro Headset as a controller.

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Section: Fig 2 Dualshock Controller [27]mentioning

confidence: 99%

Using Brain-Computer Interface Technology as a Controller in Video Games

Zając

Paszkiel

2020

IAPGOS

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“…Since the caddie robot does not have any encoder, an estimation algorithm is required to estimate the current velocity. The state estimator (Kinematic Kalman Filter) proposed in [22] is utilized which can estimate the velocity utilizing the Hall-effect sensor inside the driving wheels.…”

Section: Overall Structure Of Driving Controller For Caddie Robotmentioning

confidence: 99%

“…where M n , D n and J n , B n are the longitudinal and rotational nominal dynamics of the robot which are to be identified from the robot motion. KKF represents the Kinematic Kalman Filter proposed in [22,25] which estimates the longitudinal velocity using Hall-effect sensor (Hall.) and accelerometer (Acc.).…”

Section: Control Configuration For Autonomous Driving Modementioning

confidence: 99%

An Autonomous Human Following Caddie Robot with High-Level Driving Functions

et al. 2020

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Nowadays, mobile robot platforms are utilized in various fields not only for transportation but also for other diverse services such as industrial, medical and, sports, etc. Mobile robots are also an emerging application as sports field robots, where they can help serve players or even play the games. In this paper, a novel caddie robot which can autonomously follow the golfer as well as provide useful information such as golf course navigation system and weather updates, is introduced. The locomotion of the caddie robot is designed with two modes: autonomous human following mode and manual driving mode. The transition between each mode can be achieved manually or by an algorithm based on the velocity, heading angle, and inclination of the ground surface. Moreover, the transition to manual mode is activated after a caddie robot has recognized the human intention input by hand. In addition, the advanced control algorithm along with a trajectory generator for the caddie robot are developed taking into consideration the locomotion modes. Experimental results show that the proposed strategies to drive various operating modes are efficient and the robot is verified to be utilized in the golf course.

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“…e wheelchairs are still the most used devices for patients with lower limb motor dysfunction. Various research studies about different aspects of powered wheelchairs have been conducted [15][16][17][18][19][20][21]. With the development of human-computer interface hardware and sensor processing algorithms, the smart wheelchairs give people with lower limb motor dysfunction not only mobility but also the necessary rehabilitation and daily living help [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Development and Evaluation of a Rehabilitation Wheelchair with Multiposture Transformation and Smart Control

Cao

Wang

et al. 2021

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Stroke and other neurological disorders have an effect on mobility which has a significant impact on independence and quality of life. The core rehabilitation requirements for patients with lower limb motor dysfunction are gait training, restand, and mobility. In this work, we introduce a newly developed multifunctional wheelchair that we call “ReChair” and evaluated its performance preliminarily. ReChair seamlessly integrates the mobility, gait training, and multiposture transformation. ReChair driving and multiposture transformation are done using the voice, button, and mobile terminal control. This work describes the functional requirements, mechanical structure, and control system and the overall evaluation of ReChair including the kinematic simulation of the multiposture transformation and passive lower limb rehabilitation training to quantitatively verify the motion capability of ReChair, the voice control system evaluation that shows how the voice recognition system is suitable for home environment, the sensorless speed detection test results that indicate how the wheel speeds measured by sensorless method are appropriate for travelling control, and the passive and balance training test results that show how the lower limb rehabilitation training in daily life by ReChair is convenient. Finally, the experimental results show that ReChair meets the patients’ requirements and has practical significance. It is cost-effective, easy to use, and supports multiple control modes to adapt to different rehabilitation phases.

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Motion control of joystick interfaced electric wheelchair for improvement of safety and riding comfort

Cited by 23 publications

References 20 publications

Using Brain-Computer Interface Technology as a Controller in Video Games

Using Brain-Computer Interface Technology as a Controller in Video Games

An Autonomous Human Following Caddie Robot with High-Level Driving Functions

Development and Evaluation of a Rehabilitation Wheelchair with Multiposture Transformation and Smart Control

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