forensics
A mobile sensor can be described as a kind of smart technology that can capture minor or major changes in an environment and can respond by performing a particular task. The scope of the dataset is for forensic purposes that will help segregate day-to-day activities from criminal actions. Smartphones supplied with sensors can be utilised for monitoring and recording simple daily activities such as walking, climbing stairs, eating and more. For the generation of this dataset, we have collected data for 13 classes of daily life activities, which has been done by a single individual.
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Roughly 16 million mobile devices are available with the majority of the population worldwide and this number going to increase exponentially. Many mobile devices do include sensors and hence can be used for other applications rather than mobile gaming. In the present work, we have collected mobile sensor data for 11 classes. Each class of data is gathered with a child or adult person performing different activities during the day or recreating the scenario of different crimes.
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Present dataset intended to give human footprint a legal capacity. The human footprint can be a good candidate for biometric identification. The presented dataset has been created using EPSON 5500 Scanner, which is an ordinary PSC machine. This dataset consists of 6 right side multispectral footprints per person from 220 volunteers captured at different periods.
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This FFT-75 dataset contains randomly sampled, potentially overlapping file fragments from 75 popular file types (see details below). It is the most diverse and balanced dataset available to the best of our knowledge. The dataset is labeled with class IDs and is ready for training supervised machine learning models. We distinguish 6 different scenarios with different granularity and provide variants with 512 and 4096-byte blocks. In each case, we sampled a balanced dataset and split the data as follows: 80% for training, 10% for testing and 10% for validation.
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A database of lips traces
Cheiloscopy is a forensic investigation technique that deals with identification of humans based on lips traces. Lip prints are unique and permanent for each individual, and next to the fingerprinting, dental identification, and DNA analysis can be one of the basis for criminal/forensics analysis.
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