Anxiety Detection and Classification of Adults with Developmental Disabilities using a Collaborative Service Robot

使用协作服务机器人对发育障碍成人进行焦虑检测和分类

• 批准号: 521738-2017
• 负责人: Nejat, Goldie
• 金额: $ 1.82万
• 依托单位: University of Toronto
• 依托单位国家: 加拿大
• 项目类别: Engage Grants Program
• 财政年份: 2017
• 资助国家: 加拿大
• 起止时间: 2017-01-01 至 2018-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=640090
• 关键词: Anxiety; Detection; Classification; Adults; Developmental

Developmental disabilities (DD) are a diverse group of conditions caused by physical and/or mentalimpairments. This project focuses on developing a collaborative service robot to help Canadians living withDD to reach their personal goals and achieve greater independence. Namely, the objective of this research is todevelop a robot architecture that can detect anxiety, which is commonly felt by people with DD, and then adopta calming behavior to minimize anxiety and agitation. A robust user anxiety detection and classificationmethod will be developed using different communication modes, and will be integrated with the service robot.The overall project outcomes will be transferable to health and elder care environments, providing a significantstep towards personalizing the robot for clients and caregivers to improve social interactions.

发育性残疾（DD）是由身体和/或精神损害引起的一组不同的状况。这个项目的重点是开发一个协作服务机器人，以帮助加拿大人生活与DD达到他们的个人目标，实现更大的独立性。也就是说，本研究的目的是开发一种机器人架构，可以检测焦虑，这是DD患者普遍感受到的，然后采取平静的行为，以尽量减少焦虑和激动。我们将利用不同的通信模式开发一种强大的用户焦虑检测和分类方法，并将其与服务机器人集成。整个项目的成果将可转移到健康和老年护理环境中，为客户和护理人员提供个性化机器人，以改善社会互动，迈出了重要的一步。