mDebugger: Assessing and diagnosing the fidelity and yield of mobile sensor data

Mahbubur M. Rahman; Nasir Ali; Rummana Bari; Nazir Saleheen; Mustafa al'Absi; Emre Ertin; Ashley Kennedy; Kenzie L. Preston; Santosh Kumar

doi:10.1007/978-3-319-51394-2_7

mDebugger: Assessing and diagnosing the fidelity and yield of mobile sensor data

Mahbubur M. Rahman, Nasir Ali, Rummana Bari, Nazir Saleheen, Mustafa al'Absi, Emre Ertin, Ashley Kennedy, Kenzie L. Preston, Santosh Kumar

Research output: Chapter in Book/Report/Conference proceeding › Chapter

8 Scopus citations

Abstract

Mobile sensor data collected in the natural environment are subject to numerous sources of data loss and quality deterioration. This may be due to degradation in attachment, change in placement, battery depletion, wireless interference, or movement artifacts. Identifying and fixing the major sources of data loss is critical to ensuring high data yield from mobile sensors. This chapter describes a systematic approach for identifying the major sources of data loss that can then be used to improve mobile sensor data yield.

Original language	English (US)
Title of host publication	Mobile Health
Subtitle of host publication	Sensors, Analytic Methods, and Applications
Publisher	Springer International Publishing
Pages	121-143
Number of pages	23
ISBN (Electronic)	9783319513942
ISBN (Print)	9783319513935
DOIs	https://doi.org/10.1007/978-3-319-51394-2_7
State	Published - Jul 12 2017

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© Springer International Publishing AG 2017.

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AU - Ali, Nasir

AU - Bari, Rummana

AU - Saleheen, Nazir

AU - al'Absi, Mustafa

AU - Ertin, Emre

AU - Kennedy, Ashley

AU - Preston, Kenzie L.

AU - Kumar, Santosh

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ER -

mDebugger: Assessing and diagnosing the fidelity and yield of mobile sensor data

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