Standards Research Data
Crowds express emotions as a collective individual, which is evident from the sounds that a crowd produces in particular events, e.g., collective booing, laughing or cheering in sports matches, movies, theaters, concerts, political demonstrations, and riots. Crowd sounds can be characterized by frequency-amplitude features, using analysis techniques similar to those applied on individual voices, where deep learning classification is applied to spectrogram images derived by sound transformations.
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817 Views
The dataset contains information on 15 public failed software projects. It represents the primary behavior of a team against the failure process.
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48 Views
N/A
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155 Views
Segmentation of TC clouds in 2016. The segmentation task was accomplished by an algorithm which takes a time series of brightness temperature images of TCs and uses image processing techniques to acquire segmentation for each image in a semi-supervised manner.
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351 Views
The data include:
- Demographic data of the participants including: gender, group of participation and number of years in the company.
- Results of the use of Ethool including: expended time and subjective evaluation of if using a Likert of 5 points. Two different files are available corresponding to each iteration (prototype 1 and prototype 2).
- Results of the SUS questionnaire for both iterations (prototype 1 and prototype 2).
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173 Views
The current dataset – crowdbot – presents outdoor pedestrian tracking from onboard sensors on a personal mobility robot navigating in crowds. The robot Qolo, a personal mobility vehicle for people with lower-body impairments was equipped with a reactive navigation control operating in shared-control or autonomous mode when navigating on three different streets of the city of Lausanne, Switzerland during farmer’s market days and Christmas market. Full Dataset here: DOI:10.21227/ak77-d722
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922 Views
This dataset presents collisions between a service robot - Qolo - and pedestrian dummies: male adult Hybrid-III (H3) and child model 3-years-old (Q3). We present a set of collision scenarios for the assessment of pedestrian safety, considering possible impacts at the legs for adult pedestrians, and legs, chest and head for children.
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211 Views
Each record in the dataset includes 7 fields:
UserID, CurrentChannel, NextChannel, Date, TimeSection, StartTime, Duration.
The meanings of them are respectively as follows,
1. UserID : the number of a user, sorted in descending order by the number of channels he/she has switched during the period of time; [1, 13246].
2. CurrentChannel: the channel ID viewed by the user in the current time section.
3. NextChannel: the channel ID which the user would view in the next time section.
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237 Views
The data are associated with a submitted journal paper.
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92 Views
Intracellular organelle networks such as the endoplasmic reticulum (ER) network and the mitochondrial network serve crucial physiological functions. Morphology of these networks plays critical roles in mediating their functions.Accurate image segmentation is required for analyzing morphology of these networks for applications such as disease diagnosis and drug discovery. Deep learning models have shown remarkable advantages in accurate and robust segmentation of these complex network structures.
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1743 Views