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Expert system to interpret hand tremor and provide joystick position signals for powered wheelchairs with ultrasonic sensor systems

机译:专家系统解释手震颤并为超声波传感器系统的动力轮椅提供操纵杆位置信号

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摘要

Purpose – The purpose of this paper is to investigate how to make powered-wheelchair driving easier using simple expert systems to interpret joystick and ultrasonic sensor data. The expert systems interpret shaky joystick movement and identify potentially hazardous situations and then recommend safe courses of action.Design/methodology/approach – The way that a human user interacts with a powered-wheelchair is investigated. Some simple expert systems are presented that interpret hand tremor and provide joystick position signals for an ultrasonic sensor system. Results are presented from a series of timed tasks completed by users using a joystick to control a powered-wheelchair. Effect on the efficiency of driving a powered-wheelchair is measured using the times to drive through progressively more complicated courses. Drivers completed tests both with and without sensors and the most recently published systems are used to compare results.Findings – The new expert systems consistently out-performed the most recently published systems. A minor secondary result was that in simple environments, wheelchair drivers tended to perform better without any sensor system to assist them but in more complicated environments then they performed better with the sensor systems.Research limitations/implications – The time taken for a powered-wheelchair to move from one place to another partly depends on how a human user interacts with the powered-wheelchair. Wheelchair driving relies heavily on visual feedback and the experience of the drivers. Although attempts were made to remove variation in skill levels by using sets of data associated with each driver and then using paired statistical tests on those sets, some variation must still be present.Practical implications – The paper presents new systems that could allow more people to use powered-wheelchairs and also suggests that the amount of sensor support should be varied depending on circumstances.Originality/value – The new systems described in the paper consistently performed driving tasks more quickly than the most recently published systems
机译:目的–本文的目的是研究如何使用简单的专家系统来解释操纵杆和超声传感器数据,从而使电动轮椅驾驶更加轻松。专家系统解释摇杆的摇动并确定潜在的危险情况,然后建议采取安全的措施。设计/方法/方法–研究了人类用户与电动轮椅交互的方式。提出了一些简单的专家系统,这些系统可以解释手的颤抖并为超声传感器系统提供操纵杆位置信号。用户使用操纵杆控制电动轮椅完成了一系列定时任务,并给出了结果。使用驾驶逐步复杂的课程所需的时间来衡量对电动轮椅驾驶效率的影响。驾驶员在有无传感器的情况下均完成了测试,并且使用了最新发布的系统来比较结果。发现–新的专家系统始终优于最新发布的系统。次要的次要结果是,在简单的环境中,轮椅驾驶员倾向于在没有任何传感器系统的情况下表现更好,但在更复杂的环境中,轮椅驾驶员在使用传感器系统时表现会更好。研究局限/含义–电动轮椅所花费的时间从一个地方移动到另一个地方部分取决于人类用户与电动轮椅的交互方式。轮椅驾驶严重依赖视觉反馈和驾驶员的经验。尽管已尝试通过使用与每个驾驶员相关的数据集来消除技能水平的差异,然后对这些数据集使用成对的统计检验,但是仍然必须存在一些差异。实际意义–本文提出了可以允许更多人使用的新系统。使用电动轮椅,并建议应根据情况改变传感器的支撑量。原始性/价值–与最新发布的系统相比,本文所述的新系统始终如一地更快地执行了驾驶任务

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