Abstract
Smart watches are increasingly being used in various appli-cations to monitor heart rate for exercise and health care purposes. It is crucial that the readings from these devices are accurate so that users can take proper actions accord-ing to the intensity of the heart rate. Taking actions from inaccurate readings can negatively impact the health of the user. In this work, we run a preliminary study that ver-ifies the accuracy of wearable platforms by comparing the measurements with a clinically-grade device.
Original language | English |
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Title of host publication | Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016 |
Publisher | Association for Computing Machinery, Inc |
Pages | 380-381 |
Number of pages | 2 |
ISBN (Electronic) | 9781450342636 |
DOIs | |
Publication status | Published - 2016 Nov 14 |
Event | 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016 - Stanford, United States Duration: 2016 Nov 14 → 2016 Nov 16 |
Publication series
Name | Proceedings of the 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016 |
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Conference
Conference | 14th ACM Conference on Embedded Networked Sensor Systems, SenSys 2016 |
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Country/Territory | United States |
City | Stanford |
Period | 16/11/14 → 16/11/16 |
Bibliographical note
Publisher Copyright:© 2016 Copyright held by the owner/author(s).
All Science Journal Classification (ASJC) codes
- Hardware and Architecture
- Computer Networks and Communications
- Control and Systems Engineering
- Electrical and Electronic Engineering