Using EEG & Machine Learning to Perform Lie Detection • Jennifer Marsman • YOW! 2017
This presentation was recorded at YOW! 2017. #GOTOcon #YOW
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Jennifer Marsman – Principle Software Engineer at Microsoft @jennifermarsman2116
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ABSTRACT
Using an #EPOC headset from #Emotiv, I have captured 14 channels of #EEG (brain waves) while subjects lied and answered truthfully to a series of questions.
I fed this labelled dataset into #Azure Machine Learning to build a classifier which predicts whether a subject is telling the truth or lying. In this session, I will share my results on this “lie detector” experiment. I will show my machine learning model, data cleaning process, and results, along with discussing the limitations of my approach and next steps/resources. Attendees will gain exposure to the Emotiv #EPOCHeadset and Azure Machine Learning. […]
RECOMMENDED BOOKS
Stefan Helzle • Low-Code Application Development with Appian • https://amzn.to/3rAC0Xq
Phil Winder • Reinforcement Learning • https://amzn.to/3t1S1VZ
Kelleher & Tierney • Data Science (The MIT Press Essential Knowledge series) • https://amzn.to/3AQmIRg
Lakshmanan, Robinson & Munn • Machine Learning Design Patterns • https://amzn.to/2ZD7t0x
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#MachineLearning #AzureML #LieDetection #LieDetector #JenniferMarsman #YOWcon
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