NDLI: Your activity tracker knows when you quit smoking

Content Provider	ACM Digital Library
Author	Kuriyama, Hiroyuki Kawamoto, Ken Tanaka, Takeshi
Abstract	This paper discusses outcomes of our exploratory research aiming to discover ways of utilising continuous long term respiratory rate data collected from actigraphy (wrist-worn accelerometers.) We show that by monitoring changes in respiratory rate during sleep, we can detect and visualise various physical conditions that were previously not detectable using such simple wearable sensors, namely; the subjective level of drunkenness, fever, and smoking cessation. This study provides valuable insight into the potential of actigraphy, not simply as a tool for detecting common daily activities, but as a base for building a generic lifelog system that can evaluate the more qualitative aspects of your life.
Starting Page	107
Ending Page	110
Page Count	4
File Format	PDF QT / MOV
ISBN	9781450329699
DOI	10.1145/2634317.2634327
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2014-09-13
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Smoking detection Activity tracker Respiratory rate Drunkenness Actigraphy Fever
Content Type	Video Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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Your activity tracker knows when you quit smoking