Sensors

This database includes data measured by Qualcomm's 60GHz mmWave Radar.

It includes:

Face signature data base: radar face scan data of 206 individuals for face recognition. 

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This dataset consists of raw EEG data from 48 subjects who participated in a multitasking workload experiment utilizing the SIMKAP multitasking test. The subjects’ brain activity at rest was also recorded before the test and is included as well. The Emotiv EPOC device, with sampling frequency of 128Hz and 14 channels was used to obtain the data, with 2.5 minutes of EEG recording for each case. Subjects were also asked to rate their perceived mental workload after each stage on a rating scale of 1 to 9 and the ratings are provided in a separate file.

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7739 Views

The frequency domain measurement of the scattering parameter, S21, of the wireless channel was carried out using the ZVB14 Vector Network Analyzer (VNA) from Rhode and Schwartz. The measurement system consists of the VNA, low loss RF cables, and omnidirectional antennas at the transmitter and receiver ends. The transmitter and receiver heights were fixed at 1.5 m. A program script was written for the VNA to measure 10 consecutive sweeps: each sweep contains 601 frequency sample points with spacing of 0.167 MHz to cover a 100 MHz band centered at 2.4 GHz.

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3430 Views

Visual tracking methods have achieved a successful development in recent years. Especially the Discriminative Correlation Filter (DCF) based methods have significantly advanced the state-of-the-art in tracking. The advancement in DCF tracking performance is predominantly attributed to powerful features and sophisticated online learning formulations. However, it would come to some troubles if the tracker learns the samples indiscriminately.

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218 Views

A novel surface-enhanced Raman scattering substrate based on integrated circuit (IC) process was designed, using photolithography, etching and other processes on the silicon wafer processing. Its surface morphology and Raman activity were characterized and tested. The relationship between the substrate’s photolithographic pattern and its Raman activity, stability and reproducibility has been analyzed and verified.

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147 Views

The CREATE database is composed of 14 hours of multimodal recordings from a mobile robotic platform based on the iRobot Create.

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2279 Views

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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285 Views

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