At-Home Healthcare Through Smart-Environmental Sensing, Including Biometrics for Multi-Factor Authentication

被引：2
|
作者：
Anderson, Wes [1 ]
Simske, Steven J. [2 ]
机构：
[1] Colorado State Univ, Dept Biomed Engn, Ft Collins, CO 80523 USA
[2] Colorado State Univ, Dept Syst Engn, Ft Collins, CO 80523 USA
来源：
2020 8TH IEEE INTERNATIONAL CONFERENCE ON HEALTHCARE INFORMATICS (ICHI 2020) | 2020年
关键词：
biometrics; artificial intelligence; mobile healthcare; privacy; personalized healthcare; PARKINSONS-DISEASE; VOICE RECORDINGS; BREATH ANALYSIS; AIR PARTICLES; DIAGNOSIS; CLASSIFICATION;
D O I：
10.1109/ICHI48887.2020.9374337
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
There is a growing need for at-home, personalized, accessible, and accurate healthcare. The potential of Internet of Things (IoT) enabled sensors for non-invasive medical diagnostics and therapeutic monitoring as well as for environmental monitoring through a "smart-home" system and multi-factor authentication using various biometrics, create a vast number of possibilities for further implementation of these sensing opportunities into society.
引用
收藏
页码：447 / 452
页数：6
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