通过监测生物信号为野外消防员设计防止脱水的智能头盔

Jiali Zhang, He Feng, Chee Jen Ngeh, J. Raiti, Yuntao Wang, Paulo Gonçalves, Gulnara Sarymbekova, Linda Wagner, J. James, Paul B. Albee, Jayasakthi Thiagarajan
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引用次数: 4

摘要

智能头盔是一种新型可穿戴设备,用于监测野外消防员的实时生物信号数据,并提醒潜在的健康问题,如脱水。本文将以人为本的设计方法应用于消防员智能头盔的研制。我们最初进行了多轮初步研究,通过采访80名消防员来收集用户需求和部署限制。针对因中暑和过度劳累导致的脱水问题,我们开发了一款名为FireWorks的智能头盔原型,头盔上装有一系列传感器,可以收集消防员的生物信号,包括体温、心率和动作。当检测到异常的生物信号水平时,警报系统将通知消防员和他们的主管。该通知是通过预测即将发生的健康风险的设备上算法实现的。此外,我们设计了一个移动应用程序来显示实时和历史生物信号数据,并提醒用户潜在的脱水问题。最后,我们进行了用户评估研究,并根据用户反馈迭代了原型,我们进行了功能评估,以确保所有实现的功能都能正常工作。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing a Smart Helmet for Wildland Firefighters to Avoid Dehydration by Monitoring Bio-signals
Smart Helmet is a new wearable device to monitor wildland firefighters’ real-time bio-signal data and alert potential health issues, i.e., dehydration. In this paper, we applied the human-centered design method to develop Smart Helmet for firefighters. We initially conducted multiple rounds of primary research to collect user needs and the deployment constraints by interviewing 80 firefighters. Targeted on dehydration caused by heat exhaustion and overexertion, we developed a smart helmet prototype, named FireWorks, with an array of sensors collecting the firefighter’s bio-signals, including body temperature, heart rate, and motions. When abnormal bio-signal levels are detected, the alert system will notify the firefighter and their supervisor. The notification is achieved by an on-device algorithm that predicts imminent health risks. Further, we designed a mobile application to display real-time and historical bio-signal data as well as alert users about potential dehydration issues. In the end, we ran user evaluation studies and iterated the prototype based on user feedback, and we ran the functional evaluation to make sure all the implemented functions work properly.
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