Assessing the Feasibility of Speech-Based Activity Recognition in Dynamic Medical Settings

Assessing the Feasibility of Speech-Based Activity Recognition in Dynamic Medical Settings
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评估动态医疗环境中基于语音的活动识别的可行性

DOI:
10.1145/3290607.3312983
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发表时间:
2019
期刊:
Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems
影响因子:
--
通讯作者:
Marsic, Ivan
Marsic, Ivan
中科院分区:
--
文献类型:
--
作者:
Jagannath, Swathi;Sarcevic, Aleksandra;Kamireddi, Neha;Marsic, Ivan

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我们描述了一个与三位领域专家进行的实验,以了解他们如何利用动态医疗团队中口头交流的语音数据来识别活动的类型和表现阶段。从该实验中获得的见解将为自动活动识别系统的设计提供信息,以提醒医疗团队实时处理偏差。我们通过(1)描述领域专家如何感知与活动相关的语音动态,以及(2)确定在复杂的基于团队的工作环境中基于语音的活动识别系统设计相关的挑战,为文献做出了贡献。
We describe an experiment conducted with three domain experts to understand how well they can recognize types and performance stages of activities using speech data transcribed from verbal communications during dynamic medical teamwork. The insights gained from this experiment will inform the design of an automatic activity recognition system to alert medical teams to process deviations in real time. We contribute to the literature by (1) characterizing how domain experts perceive the dynamics of activity-related speech, and (2) identifying the challenges associated with system design for speech-based activity recognition in complex team-based work settings.
DOI: 10.1016/j.resuscitation.2011.10.032
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期刊: RESUSCITATION
影响因子: 6.5
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DOI: --
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影响因子: --
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