Context-Aware Multimodal Robotic Health Assistant

Vidyavisal Mangipudi, Raj Tumuluri
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引用次数: 1

Abstract

Reduced adherence to medical regimen has led to poorer health, more frequent hospitalization and costs the American economy over $290 Billion annually. EasyHealth Assistant (EHA) is a context aware and interactive robot that helps patients receive their medication in the prescribed dosage at the right time. Additionally, EHA features multimodal elements such as Face Recognition, Speech Recognition + TTS, Motion Sensing and MindWave (EEG) interactions that were developed using W3C MMI Architecture and Markup Languages. EHA improves the Caregiver/ Doctor -- Patient collaboration with tools like Remote control and Video conference. It also provides the Caregivers with real-time statistics and allows easy monitoring of medical adherence and health vitals, which should result in improved outcome for the patient.
上下文感知多模式机器人健康助手
对医疗方案的依从性降低导致健康状况恶化,住院次数增加,每年给美国经济造成超过2900亿美元的损失。EasyHealth Assistant (EHA)是一种环境感知和互动机器人,可以帮助患者在正确的时间接受处方剂量的药物。此外,EHA具有多模态元素,如使用W3C MMI架构和标记语言开发的面部识别、语音识别+ TTS、运动感应和脑电波(EEG)交互。EHA通过远程控制和视频会议等工具改善了护理者/医生-患者的协作。它还为护理人员提供实时统计数据,并允许轻松监测医疗依从性和健康生命体征,这应该会改善患者的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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