A Tongue Movement Command and Control System Based on Aural Flow Monitoring

基于听觉流量监测的舌头运动指挥控制系统

• 批准号: EP/F01869X/1
• 负责人: Ravi Vaidyanathan
• 金额: $ 34.3万
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Research Grant
• 财政年份: 2008
• 资助国家: 英国
• 起止时间: 2008 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=EP%2FF01869X%2F1
• 关键词: Tongue; Movement; Command; Control; System

Although there is a well-recognized need in society for effective tools which will enable the physically impaired to be more independent and productive, existing technology still fails to meet many of their needs. In particular, nearly all mechanisms designed for human-control of peripheral devices require users to generate the input signal through bodily movements, most often with their hands, arms, legs, or feet. Such devices clearly exclude individuals with limited appendage control. Spinal cord injuries, repetitive strain injuries, severe arthritis, loss of motion due to stroke, and central nervous system (CNS) disorders all represent examples of these impairments. Past work has attempted to address this need through recognition of the potential of the oral cavity (victims of stroke, spinal damage, and arthritis can often move their tongue and mouth) for control input. Developed mechanisms include: track balls, small joysticks, and retainers inserted in the mouth to be manipulated by the tongue, or sip and puff tubes which respond to concentrated exhaling and inhaling. Despite their numerous successful implementations, these devices can be difficult to operate, problematic if they fall from or irritate the mouth, may impair verbal communication, and present hygiene issues since they must be inserted within the mouth.The objective of this programme is to surmount these issues through the development of a unique tongue-movement communication and control strategy in a stand-alone device that can be calibrated for patient-use with all manner of common household devices and tailored to control assistive mechanisms. The strategy is based on detecting specific tongue motions by monitoring air pressure in the human outer ear, and subsequently providing control instructions corresponding to that tongue movement for peripheral control. Our research has shown various movements within the oral cavity create unique, traceable pressure changes in the human ear, which can be measured with a simple sensor (e.g. a microphone) and analyzed to produce commands, that can in turn be used to control mechanical devices or other peripherals. Results from this programme will enable patients with quadriplegia, arthritis, limited movement due to stroke, or other conditions causing limited or painful hand/arm movement to interface with their environment and control all manner of equipment for increased independence and quality of life.

虽然社会上普遍认识到需要有效的工具，使身体受损者能够更加独立和富有成效，但现有技术仍然无法满足他们的许多需要。特别是，几乎所有为外围设备的人为控制而设计的机制都需要用户通过身体运动来生成输入信号，最常见的是用他们的手、手臂、腿或脚。这种装置显然排除了肢体控制有限的个人。脊髓损伤、重复性劳损、严重关节炎、中风导致的运动丧失和中枢神经系统（CNS）疾病都是这些损伤的例子。过去的工作试图通过识别口腔（中风、脊柱损伤和关节炎的患者通常可以移动他们的舌头和嘴巴）的控制输入潜力来解决这一需求。已开发的机制包括：轨迹球、小吸管和插入口中由舌头操纵的保持器，或对集中呼气和吸气作出反应的吸管和吹气管。尽管它们有许多成功的实施，但这些装置可能难以操作，如果它们从口中掉下或刺激口腔，可能会损害言语交流，该项目的目标是通过开发一种独特的舌头运动通信和控制策略来克服这些问题，这种策略可以在一个独立的设备中进行校准，与各种常见的家用设备一起使用，并为控制辅助机构量身定制。该策略基于通过监测人类外耳中的气压来检测特定的舌头运动，然后提供与舌头运动相对应的控制指令以进行外围控制。我们的研究表明，口腔内的各种运动会在人耳中产生独特的、可追踪的压力变化，这些变化可以用简单的传感器（例如麦克风）测量并分析以产生命令，这些命令又可以用于控制机械设备或其他外围设备。该计划的结果将使四肢瘫痪、关节炎、中风导致的运动受限或其他导致手/臂运动受限或疼痛的疾病的患者能够与他们的环境接触，并控制各种设备，以提高独立性和生活质量。

项目成果

Biomimetics: Nature‐Based Innovation

仿生学：基于自然的创新

• DOI: 10.1002/inst.201417264
• 发表时间: 2014
• 期刊: Insight
• 影响因子: 1.1
• 作者: Lawrence D. Pohlmann

A DCT-Gaussian classification scheme for human-robot interface

人机界面的DCT-高斯分类方案

• DOI: 10.1109/iros.2009.5354008
• 发表时间: 2009
• 作者: Kota S

Pairwise diversity ranking of polychotomous features for ensemble physiological signal classifiers.

整体生理信号分类器的多分类特征的成对多样性排序。

• DOI: 10.1177/0954411913480621
• 发表时间: 2013
• 期刊: Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
• 作者: Gupta,Lalit;Kota,Srinivas;Molfese,DennisL;Vaidyanathan,Ravi
• 通讯作者: Vaidyanathan,Ravi

Assessment of human response to robot facial expressions through visual evoked potentials

通过视觉诱发电位评估人类对机器人面部表情的反应

• DOI: 10.1109/ichr.2010.5686272
• 发表时间: 2010
• 作者: Craig R

Augmenting neuroprosthetic hand control through evaluation of a bioacoustic interface

通过评估生物声学界面增强神经假手控制

• DOI: 10.1109/iros.2013.6696547
• 发表时间: 2013
• 作者: Mace M