Novel straight and circular road driving control of electric power assisted wheelchair based on fuzzy algorithm

Seki, Hiroko; Tadakuma, Susumu

doi:10.1002/eej.20846

Cited by 7 publications

(2 citation statements)

References 13 publications

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“…The discrepancy between pro-environmental behavior and purchase intentions for renewable energies is due to variables that moderate this influence. Seki and Tadakuma (2010) indicated that attitudes favoring energy conservation are more likely to turn into action if said action has a small cost about time, money, or sacrifice. H2: The more pro-environmental behavior is exercised, the greater the attitude towards renewable energies.…”

Section: Effects Of Pro-environmental Behaviormentioning

confidence: 99%

Untitled

2018

IJO-BS

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This paper analyzes the knowledge that consumers have about the different types of renewable energies.To model consumer behavior towards renewable energies, research-based on reasoned action theory positively relates prior experience about renewable energies with attitude. Taking pro-environmental behavior as a starting point and exogenous variable, the existence of a strong relationship between this variable and knowledge about renewable energies is demonstrated. On the other hand, between this concern for the environment, attitude, and intention, a less intense relationship is shown since renewable energies' installation represents an effort that slows down the consumer.

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Section: Effects Of Pro-environmental Behaviormentioning

confidence: 99%

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2018

IJO-BS

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“…Influencer (Seki and Tadakuma 2010) These are the people or groups that are not directly related to the acquisition. The project manager is the person responsible for achieving the project objectives.…”

Section: Project Definitions and Termsmentioning

confidence: 99%

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2017

IJO-BS

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Human-Friendly Motion Control of Power-Assisted Wheelchair

Hori

2015

Springer Tracts in Advanced Robotics

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Abstract. Wheelchairs which have enhanced locomotion of people with muscular weakness or paralysis still can be improved using various assistive technologies, e.g., electric wheelchairs have been developed and widely used for enhancement of the maneuverability and safety of people. The power-assisted wheelchair (PAW) is a relatively new type of a wheelchair, which is equipped with torsion sensors to measure force applied on rims by a human and provides the assistive torque based on the measured force. With this propelling process, the user still can involve with the propulsion of the wheelchair while the assistive torque can relieve the user's propulsion effort.This PAW is a case of human-machine interface and requires an adequate control of assistive torques to interact with a human without confliction. To address this issue, human-friendly motion control of the PAW is introduced in this chapter, which consists of the accurate observation of the physical states of the PAW and the disturbance rejection control based on the observed states to support safe and comfortable operation of the PAW.Several physical states of the PAW are defined as the operation states, which are associated with the motion of the PAW and the environmental condition, and they are observed utilizing multiple motion sensors (i.e., encoders, gyroscopes, and accelerometers) and an algorithm to fuse them. Then, control algorithms to remove the effect of undesired disturbance on the PAW without perturbing human's operation are developed in a human-friendly way utilizing the observed operation states. The effectiveness of this human-friendly motion control of PAW is verified through various experiments using a commercialized PAW.

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Novel straight and circular road driving control of electric power assisted wheelchair based on fuzzy algorithm

Cited by 7 publications

References 13 publications

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Human-Friendly Motion Control of Power-Assisted Wheelchair

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