机器视觉与机器人助手相结合的防咬指甲策略

Jonathan Camargo, Aaron J. Young
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引用次数: 0

摘要

咬指甲症是一种以身体为中心的重复性行为,在年轻的儿童和青少年中尤为普遍。这种行为会对表现出恐甲症的个体产生负面的生理和心理影响。咬指甲的治疗涉及主体的意识,这需要第三方的不断努力。本研究项目利用商用机器人玩具与基于图像处理的机器视觉系统相结合,提供了一种防止咬指甲的新策略。机器视觉系统使用计算机中的网络摄像头识别咬指甲行为,并与玩具机器人通信以提醒受试者。通过用户案例研究验证了该实现,从而减少了事件发生和持续时间。
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Combined Strategy of Machine Vision with a Robotic Assistant for Nail Biting Prevention
Nail biting or onychophagia is a body-focused repetitive behavior that is especially prevalent in the younger population of children and adolescents. The behavior produces negative physical and psychological effects on individuals who exhibit onychophagia. Therapy for nail biting involves awareness from the subject which requires constant effort from third parties. This research project utilized a commercial robotic toy in combination with a machine vision system based on image processing to deliver a new strategy to prevent nail biting. The machine vision system recognized nail biting using a webcam in the computer which communicated to the toy robot to alert the subject. The implementation is validated with a user case study obtaining reduction in episode occurrences and duration.
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