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Evaluation of a Smartphone-based Human Activity Recognition System in a Daily Living Environment

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Published on: December 11, 2015

Toward Structural Health Monitoring with the MyShake Smartphone Network.

Sarina C Patel¹, Selim Günay², Savvas Marcou¹

¹UC Berkeley Seismology Lab, Berkeley, CA 94720, USA.

Sensors (Basel, Switzerland)

|November 14, 2023

Summary

This summary is machine-generated.

Smartphones can now monitor building health using the MyShake app. This free tool leverages phone accelerometers to measure structural frequencies, offering a low-cost, accessible alternative for structural health monitoring (SHM).

Keywords:

MyShake fundamental frequency seismology shake table smartphones structural health monitoring

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Area of Science:

Engineering
Geophysics
Computer Science

Background:

Structural health monitoring (SHM) traditionally relies on costly sensor installations.
Accessibility and resource constraints limit widespread structural monitoring.
Smartphones offer a ubiquitous platform with built-in accelerometers.

Purpose of the Study:

To assess the efficacy of smartphone accelerometers for structural health monitoring.
To leverage the MyShake app for extracting building fundamental frequencies.
To demonstrate a cost-effective and accessible SHM method.

Main Methods:

Benchmarking smartphone-based frequency extraction against traditional accelerometers in shake table tests.
Collecting and analyzing data from anonymous, privately owned smartphones using the MyShake app in real buildings.
Comparing measured fundamental frequencies with established empirical equations.

Main Results:

Smartphones effectively extract building fundamental frequencies.
Preliminary tests show smartphone measurements align with traditional methods.
Data from seven real-world buildings yielded reasonable fundamental frequencies within expected ranges.
Repeat measurements on one building over four months showed high consistency (within 7%).

Conclusions:

Smartphones, via the MyShake app, provide a viable and accessible tool for structural health monitoring.
This approach offers a low-cost, potentially ubiquitous method for critical structural measurements.
Repeat observations can enhance the robustness of structural health catalogs.