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Optimizing Power Consumption for Heart Rate Monitor Application on Android Platform

SHEN, JIANYU (2017) Optimizing Power Consumption for Heart Rate Monitor Application on Android Platform. Master's Thesis, University of Pittsburgh. (Unpublished)

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With the increased variety of Android mobile applications, reducing power consumption for smartphones on Android platform is a major challenge. Recently, technological advances have
illustrated a novelty Android application: Heart Rate Monitor (HRM). HRM is applied for detecting heart rate in people’s daily life, utilizing the PPG algorithm to detect heart rate in real time through monitoring changes in transparency of fingers via the built-in flashlight and camera of a mobile device. However, HRM applications often consume high power and even result in overheating of smartphone, which will damage the hardware especially the battery of smartphone. In this thesis, we explore power saving strategy based on PPG algorithm, which is used in original HRM applications. A start timepoint and a safe period are found to close hardware devices during monitoring process with ignorable accuracy loss. Monsoon power monitor is used in experiment to measure the power consumption of optimized heart rate model, and a variety of Android smartphones have been detected on Monsoon power machine to validate the practicability of optimization including Google Nexus 5, Huawei P9, and Samsung S5. We perform an evaluation on 21 subjects with optimized HRM applications and for each user make comparison of heart rate between original power model and optimized power model. Through a comparative study, the start close point and safe close period are successfully found. After the optimized HRM model is built, the power consumption is reduced by 31% with unnoticeable influence on performance.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Date: 13 June 2017
Date Type: Publication
Defense Date: 27 March 2017
Approval Date: 13 June 2017
Submission Date: 3 April 2017
Access Restriction: 5 year -- Restrict access to University of Pittsburgh for a period of 5 years.
Number of Pages: 42
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Electrical and Computer Engineering
Degree: MS - Master of Science
Thesis Type: Master's Thesis
Refereed: Yes
Uncontrolled Keywords: Heart rate, Power saving, PPG algorithm, Android application
Date Deposited: 13 Jun 2017 15:54
Last Modified: 13 Jun 2022 05:15

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