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signal processing
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Signal processing on WindowsForum.com covers the use of Microsoft Azure Machine Learning and Kinect sensor data for real-world applications. Topics include analyzing EEG brainwave data with Azure ML to build a lie detection system, and using the Kinect v2 sensor's heart rate detection capabilities for health monitoring. These threads demonstrate how signal processing techniques, combined with Microsoft tools and hardware, enable developers to extract meaningful insights from physiological signals. The content focuses on practical implementations, data collection methods, and integration with cloud-based machine learning services.
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Using EEG & Azure Machine Learning to Build a Lie Detector | Let's dev this.
Watch yourselves boys and girls because Link Removed has created something special (scary?) here! Learn how you can perform your own Lie Detection tests by capturing EEG (brainwave) data and then feeding that info into Azure Machine Learning to determine when people are telling you the truth and...- News
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- artificial intelligence azure ai brainwave data collection demo eeg emotiv epoc+ ethics innovation lie detection machine learning microsoft azure neuroscience project overview research signal processing software development technology testing toolkit
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Kinect to your Heart
Today Dwight Goins shares a great example on using one of the coolest features of the Kinect v2, heart rate detection... Link Removed When the latest Kinect sensor was unveiled more than a year ago at Build 2014, demos showed how it could determine a user’s heart rate without attaching...- News
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- algorithms computer vision data processing detection dwight goins face tracking heart rate ica infrared kinect machine learning microsoft open source project pulse r programming rgb signal processing user interface wpf
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