Subject
Creator
- Yellamraju Tarun 3
- Deena Alabed 2
- Jonas Hepp 2
- Tiberius Wehrly 2
- Amruthavarshini Talikoti 1
- Edward J. Delp, 0000-0002-2909-7323 1
- Golnaz Abdollahian 1
- Katherine L. Bouman 1
- Kelsie Larson 1
Type
- Dataset 9
Date
creator: Mireille Boutin, 0000-0002-0837-6577 type: dataset
Total is 9 Results
Raw PPG Signal Measured Using Wearable Sensor-kit in Varying Levels of Activity
10.4231/8VF2-1729
Deena Alabed, Mireille Boutin, 0000-0002-0837-6577 Tiberius Wehrly
05/03/2019
Photoplethysmogram (PPG) signals collected from five subjects in three scenarios that vary in the level of activity, measured using Asiawill Pulse Heart Rate sensor implemented in an Arduino-based wearable sensor-kit.
Asiawill Pulse Sensor Electrical and Computer Engineering Health Monitoring Device Matlab Photoplethysmogram PPG
Labeled Raw PPG Signals Measured Using Wearable Sensor-kit
10.4231/1BE9-YY17
Deena Alabed, Mireille Boutin, 0000-0002-0837-6577 Tiberius Wehrly
05/03/2019
Photoplethysmogram (PPG) signals collected from nine subjects in a still seated position, measured using Asiawill Pulse Heart Rate sensor implemented in an Arduino-based wearable sensor-kit.
Asiawill Pulse Sensor Electrical and Computer Engineering Health Monitoring Device Matlab Photoplethysmogram PPG
Database of images for low complexity sign detection and text localization method for mobile applications
10.4231/R7ZP44BW
Edward J. Delp, 0000-0002-2909-7323, Golnaz Abdollahian, Katherine L. Bouman, Mireille Boutin, 0000-0002-0837-6577
02/01/2018
This database contains images that were used for training and testing of our text detection and localization algorithm.
Complexity Theory Electrical and Computer Engineering Feature extraction Low complexity sign detection Object detection Outdoor sign detection Outdoor sign translation Text detection Text localization method Text segmentation
20 Commercial Foods to Test 3-step Phenylalanine Estimation Process
10.4231/R7K35RV5
Amruthavarshini Talikoti, Mireille Boutin, 0000-0002-0837-6577
03/27/2019
This publication contains the ingredient list and phe:protein ratios for 20 commercial foods, along with assumptions made to test a proposed mathematical process to estimate phenylalanine in commercial foods.
Amino Acid Electrical and Computer Engineering Food Science Nutrients Phenylalanine Phenylketonuria PKU Protein
n-TARP Binary Clustering Code
10.4231/R74B2ZJV
Mireille Boutin, 0000-0002-0837-6577 Yellamraju Tarun
05/07/2018
Binary clustering algorithm based on random projections
Clustering Electrical and Computer Engineering Matlab Random Projection
RP1D (Clustering Method Using 1D Random Projections)
10.4231/R74F1NN4
Mireille Boutin, 0000-0002-0837-6577 Sangchun Han
11/12/2014
The source code of RP1D (Clustering Method Using 1D Random Projections).
Clustering Computer Science Electrical and Computer Engineering Random Projection Source Code
Code and Dataset for Pattern Recognition Benchmarks
10.4231/R7610X8M
Jonas Hepp, Mireille Boutin, 0000-0002-0837-6577 Yellamraju Tarun
02/03/2016
This code computed a sequence of bounds for the error rate of a pattern recognition method. The bounds correspond to the error rate that one would expect to achieve by simply selecting features at random and thresholding the feature (TARP) approach.
classification Computer Science Electrical and Computer Engineering feature evaluation image processing image recognition Pattern Recognition Pedestrian Classification
Code and Dataset for TARP Detection Benchmarks
10.4231/R7ST7MVC
Kelsie Larson, Mireille Boutin, 0000-0002-0837-6577
05/16/2017
The TARP method uses random projections, followed by threshold classifications, to construct receiver-operating characteristic curves and uncover underlying structure in the given data.
Electrical and Computer Engineering Machine Learning Receiver Operating Characteristics ROC curve Signal Processing Target Detection
Code and Dataset for Pattern Recognition Benchmarks
10.4231/R7G73BPN
Jonas Hepp, Mireille Boutin, 0000-0002-0837-6577 Yellamraju Tarun
12/12/2016
This code computed a sequence of bounds for the error rate of a pattern recognition method. The bounds correspond to the error rate that one would expect to achieve by simply selecting features at random and thresholding the feature (TARP) approach.
classification Computer Science Electrical and Computer Engineering feature evaluation image processing image recognition Pattern Recognition Pedestrian Classification
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Results 1 - 9 of 9