2015 MATLAB & SIMULINK

2© 2015 The MathWorks, Inc.

Introduction to Signal Processing for

Sensor Analytics

Giorgia Zucchelli – Technical Marketing RF & Mixed-Signal

giorgia.zucchelli@mathworks.nl

3

Signal Processing and Analysis of Sensor Data

Do you have access to sensor data and you need to

extract features for building machine learning algorithms?

Is your problem open-ended and you need to explore

alternative solutions?

You are not an expert in signal processing, nor a

professional programmer but you have an idea for a killer

App?

4

Signal Analysis for ClassificationApplication examples

Mobile sensing

Structural health monitoring (SHM)

Automated trading

Engine event detection

Radar post-processing

Advanced surveillance

...

5

What We Will Learn Today

Basic signal manipulation

Statistical parameters estimation

Digital filters

Frequency-domain transformations

Measurements automation and feature extraction

6

Human Activity Analysis and Classification

ClassificationFeature

Extraction

Dataset courtesy of:

Davide Anguita, Alessandro Ghio, Luca Oneto, Xavier Parra and Jorge L. Reyes-Ortiz.

Human Activity Recognition on Smartphones using a Multiclass Hardware-Friendly Support Vector Machine.

International Workshop of Ambient Assisted Living (IWAAL 2012). Vitoria-Gasteiz, Spain. Dec 2012

http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones

7

Human Activity Analysis and ClassificationSolution

Only core built-in Signal Processing algorithms

66 high-quality features extracted with only

65 lines of code!

Visualisation and automation

accelerate insight iterations

8

What We Learned:

Use Signal Processing Toolbox functions to extract features

from your signals without re-inventing the wheel

– Cheby2, filter, rms, pwelch, periodogram, xcov, findpeaks

Build machine learning algorithms with Neural Network

Toolbox and Statistics Toolbox

– Classification

9

Conclusions

Extensive set of de-facto

standard functions for

signal processing and analysis

Visualisation and App-driven

automation

accelerate insight iterations

Compact and concise language,

and

extensive documentation

10

More To Learn – Online Webinars

Signal Processing and Machine Learning Techniques for Sensor Data

Analytics

Solving Data Management and Analysis Challenges Using MATLAB

and Statistics Toolbox

Acquiring Data from Sensors and Instruments Using MATLAB

Collect and Analyze Data Using MATLAB and Raspberry Pi