Design of Myoelectric Control Command of Electric Wheelchair as Personal Mobility for Disabled Person

2019 ◽  
Author(s):  
I Wayan Nudra Bajantika Pradivta ◽  
Achmad Arifin ◽  
Fauzan Arrofiqi ◽  
Takashi Watanabe
Keyword(s):  
Myoelectric Control ◽  
Personal Mobility ◽  
Electric Wheelchair ◽  
Control Command

Design of Mutual Interaction Between a User and Smart Electric Wheelchair

2012 ◽  
Vol 16 (2) ◽  
pp. 305-312 ◽  
Author(s):  
Mihoko Niitsuma ◽  
◽  
Terumichi Ochi ◽  
Masahiro Yamaguchi ◽  
Koki Iwamot
Keyword(s):  
Pressure Sensors ◽  
Mobile Robot Navigation ◽  
Autonomous Mobile Robot ◽  
Personal Mobility ◽  
Electric Wheelchair ◽  
Input Method ◽  
Robot Behavior ◽  
Informative Communication ◽  
Environmental Map ◽  
Output Interface

This paper presents interaction between a user and a smart electric wheelchair. We propose a personal mobility tool (PMT) that integrates autonomous mobile robot navigation technology with intuitive and cognitive interaction between a user and a smart wheelchair. An intuitive and noncontinuous input method is proposed to enable a user to specify the direction in which the wheelchair is to go. Using an acceleration sensor and pressure sensors, the user gives a direction to the PMT, then the PMT determines the goal on an environmental map based on the direction. An output interface is used to help the user interpret robot behavior through informative communication between the user and the PMT. In this paper, a vibrotactile seat interface is presented.

scholarly journals Development of a Control System and Interface Design Based on an Electric Wheelchair

2021 ◽  
Vol 25 (5) ◽  
pp. 655-663
Author(s):  
Jinseok Woo ◽  
◽  
Kyosuke Yamaguchi ◽  
Yasuhiro Ohyama
Keyword(s):  
Control System ◽  
Interface Design ◽  
Original Position ◽  
Ride Quality ◽  
Smart Device ◽  
Accelerator Pedal ◽  
Personal Mobility ◽  
Electric Wheelchair ◽  
Spring Mechanism ◽  
Distance Travel

Recently, personal mobility has been researched and developed to make short-distance travel within the community more comfortable and convenient. However, from the viewpoint of personal mobility, there are problems such as difficulty in picking up items while shopping when operating the joystick for shopping and the inability to use hands freely. Accordingly, because the speed of personal mobility can be controlled by foot stepping like an accelerator pedal, we developed an electric wheelchair system that can control the speed by pedal operation. Furthermore, we developed a control system that considers the ride quality using an electric wheelchair with pedal control. In this study, the proposed method is detailed in three parts. Firstly, to develop the pedal mechanism, a potentiometer was used to detect the angle of the pedal mechanism, and a spring mechanism was designed for return to its original position after the pedal was pushed. Next, we propose a feedback control system that considers the ride quality of the operator. In addition, we integrated the system with a smart device-based robot system to realize the mobility as a service (MaaS). Finally, we present several examples of the system and discuss the applicability of the proposed system.

Posture Control for Personal Mobility Robot using Feedback Compensation with Unstable Pole

2013 ◽  
Vol 133 (3) ◽  
pp. 282-289
Author(s):  
Noriaki Hirose ◽  
Ryosuke Tajima ◽  
Kazutoshi Sukigara ◽  
Yuji Tsusaka
Keyword(s):  
Posture Control ◽  
Personal Mobility ◽  
Feedback Compensation

AUTOMATIC HEAD-MOVEMENT CONTROLLED WHEELCHAIR

2020 ◽  
Vol 9 (10) ◽  
pp. 62-67
Keyword(s):  
Head Movement ◽  
Motion Sensor ◽  
Electric Wheelchair ◽  
Wheel Chair ◽  
Head Band

This project is regarding the Motion controlled wheelchair for disabled. We are going to control motorized wheelchair using a head band having motion sensor and Arduino as controller. Problem: “often disabled who cannot walk find themselves being burden for their families or caretakers just for moving around the house. Disabled who are paralysed below head, who may not have functioning arms cannot control joystick controlled electric wheelchair.” This project is to solve their problem using a motion sensor to control their wheelchair. We are aiming towards building a more affordable, unique, low maintenance and available for all kind of head-controlled wheel chair.

scholarly journals Movement Control Method of Magnetic Levitation System Using Eccentricity of Non-Contact Position Sensor

2021 ◽  
Vol 11 (5) ◽  
pp. 2396
Author(s):  
Jong Suk Lim ◽  
Hyung-Woo Lee
Keyword(s):  
Motor System ◽  
Control Method ◽  
Magnetic Levitation ◽  
Movement Control ◽  
Position Sensor ◽  
Semiconductor Wafer ◽  
Control Command ◽  
Levitation System ◽  
Magnetic Levitation System ◽  
Contact Position

This paper presents a method of utilizing a non-contact position sensor for the tilting and movement control of a rotor in a rotary magnetic levitation motor system. This system has been studied with the aim of having a relatively simple and highly clean alternative application compared to the spin coater used in the photoresist coating process in the semiconductor wafer process. To eliminate system wear and dust problems, a shaft-and-bearing-free magnetic levitation motor system was designed and a minimal non-contact position sensor was placed. An algorithm capable of preventing derailment and precise movement control by applying only control without additional mechanical devices to this magnetic levitation system was proposed. The proposed algorithm was verified through simulations and experiments, and the validity of the algorithm was verified by deriving a precision control result suitable for the movement control command in units of 0.1 mm at 50 rpm rotation drive.

scholarly journals Weakly-Supervised Recommended Traversable Area Segmentation Using Automatically Labeled Images for Autonomous Driving in Pedestrian Environment with No Edges

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 437
Author(s):  
Yuya Onozuka ◽  
Ryosuke Matsumi ◽  
Motoki Shino
Keyword(s):  
Visual Information ◽  
Data Augmentation ◽  
Semantic Segmentation ◽  
Autonomous Driving ◽  
Weighting Method ◽  
Personal Mobility ◽  
Human Understanding ◽  
Autonomous Mobility ◽  
Weakly Supervised ◽  
Traffic Rules

Detection of traversable areas is essential to navigation of autonomous personal mobility systems in unknown pedestrian environments. However, traffic rules may recommend or require driving in specified areas, such as sidewalks, in environments where roadways and sidewalks coexist. Therefore, it is necessary for such autonomous mobility systems to estimate the areas that are mechanically traversable and recommended by traffic rules and to navigate based on this estimation. In this paper, we propose a method for weakly-supervised recommended traversable area segmentation in environments with no edges using automatically labeled images based on paths selected by humans. This approach is based on the idea that a human-selected driving path more accurately reflects both mechanical traversability and human understanding of traffic rules and visual information. In addition, we propose a data augmentation method and a loss weighting method for detecting the appropriate recommended traversable area from a single human-selected path. Evaluation of the results showed that the proposed learning methods are effective for recommended traversable area detection and found that weakly-supervised semantic segmentation using human-selected path information is useful for recommended area detection in environments with no edges.

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