Signal Processing and Machine Learning Techniques for Sensor Data Analytics
ฝัง
- เผยแพร่เมื่อ 30 มิ.ย. 2024
- An increasing number of applications require the joint use of signal processing and machine learning techniques on time series and sensor data. MATLAB can accelerate the development of data analytics and sensor processing systems by providing a full range of modelling and design capabilities within a single environment.
In this webinar we present an example of a classification system able to identify the physical activity that a human subject is engaged in, solely based on the accelerometer signals generated by his or her smartphone.
We introduce common signal processing methods in MATLAB (including digital filtering and frequency-domain analysis) that help extract descripting features from raw waveforms, and we show how parallel computing can accelerate the processing of large datasets. We then discuss how to explore and test different classification algorithms (such as decision trees, support vector machines, or neural networks) both programmatically and interactively.
Finally, we demonstrate the use of automatic C/C++ code generation from MATLAB to deploy a streaming classification algorithm for embedded sensor analytics.
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Great class.
Keep up the good work.
Thank You,
Natasha Samuel
Thanks for sharing,
For me at least and new people to the subject I think, the key point to understand this kind of data is the preprocessing stage and how did you manage to get the data ready for this work.. then it becomes easier to follow using the toolboxes available in MATLAB.
Thanks again.
kammelna he got the data from a website. See 6:04
@@juanbautista6766 As I consider what Kammelna's mean is that if there is an "intuitive tutorial" for us to learn how was the data prepared for this practical application which in the video is gait analysis.
Phenomenal.
this is useful
thanks a lot
Hi Gabriele, Thanks for the video. Can you upload the complete code used in the example and also the links for sample data.
Thanks!
Can you please suggest me a video that outlines all signal filtering methods. I want to learn the basics of signal processing
use matlab signal processing onramp course by mathworks
@@PasanJayaweeraYashoda thank you
Hi,
I would like to ask a specific question and I hope that someone might answer it.
Is it possible to apply such features that have shown in this video for "Signal Processing and Machine Learning Techniques for Sensor Data Analytics" to Ardupilot drone applications (to lower the noise caused by gyro, compass, accelerate-meter, barometer as comparing these to get best result, like using the Kalman Filter) by using MATLAB? thank you.
The reason I have asked this question is to find a way to get the parameters from the drone sensors to use them for No GPS usage for the localization/positioning for drone movement with the help of MATLAB.
cloud you share your final project. that all thanks!
👌👌👌👍👍👍😎
Please share the code.
sir can u please show me how can we correlate more than 3 signals over time and frequency separately and combine
and share code plz
please share link for code
www.mathworks.com/videos/signal-processing-and-machine-learning-techniques-for-sensor-data-analytics-107549.html?s_tid=srchtitle
you can down load EXAMPLE FROM HERE
CODE: www.mathworks.com/matlabcentral/fileexchange/53001-code-for-webinar-signal-processing-and-machine-learning-techniques-for-sensor-data-analytics
The link is invalid, can you share the code, thank you very much
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