Sensors

This is the data competion hosted by the IEEE Machine Learning for Signal Processing (MLSP) Technical Committee as part of the 27th IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2017), Tokyo, Japan. This year the competion is based on a dataset kindly provided Petroleum Geo-Systems (PGS), on source separation for seismic data acquistion. 

Last Updated On: 
Tue, 05/01/2018 - 15:07
Citation Author(s): 
IEEE MLSP Technical Committee

The dataset contains depth frames collected using Microsoft Kinect v1 during the execution of food and drink intake movements.

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The dataset contains depth frames collected using Microsoft Kinect v1 during the execution of food and drink intake movements.

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The dataset contains depth frames and skeleton joints collected using Microsoft Kinect v2 and acceleration samples provided by an IMU during the execution of the timed up and go test.

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The dataset contains depth frames and skeleton joints collected using Microsoft Kinect v2 and acceleration samples provided by an IMU during the simulation of ADLs and falls.

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The dataset contains depth frames collected using Microsoft Kinect v1 in top-view configuration and can be used for fall detection.

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The TMC maintains a map of traffic speed detectors throughout the City. The speed detector themselves belong to various city and state agencies. The Traffic Speeds Map is available on the DOT's website. This data feed contains 'real-time' traffic information from locations where DOT picks up sensor feeds within the five boroughs, mostly on major arterials and highways. DOT uses this information for emergency response and management.

The metadata defines the fields available in this data feed and explains more about the data.

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