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pain-database-list

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A list of pain recognition databases that are publicly available for research

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# List of Publicly Available Pain Recognition Databases
This is a list of pain recognition databases that are publicly available for research.
It has been started as part of the paper "Automatic Recognition Methods Supporting Pain Assessment: A Survey" \[[IEEEXplore](https://www.doi.org/10.1109/TAFFC.2019.2946774) | [ResearchGate](https://www.researchgate.net/publication/336447252)\] to provide an overview on related databases and how to obtain them.
The idea is to update this page whenever a new database is available or a database website URLs changes.
Any contribution is welcome!

## UNBC-McMaster Shoulder Pain Expression Archive Database
- [Website](http://www.pitt.edu/~emotion/um-spread.htm)
- subjects: 25 adults shoulder pain patients
- stimuli: 200 range of motion tests with affected and unaffected limbs
- data modalities: video of face (low resolution, includes social interaction / talking)
- annotation: self-report (VAS, sensory & affective verbal scales), observer-assessed pain intensity (OPI), affected/unaffected limb, FACS coding

## BioVid Heat Pain Database
- [Website](http://www.nit.ovgu.de/BioVid.html)
- subjects: 90 healthy adults (age 20-65)
- stimli: 14k heat pain (4 intensities × 20 repetitions × 2 parts × 90 participants); emotion elicitation, posed expression
- data modalities: video of face, EDA, ECG, sEMG (trapezius muscle; corrugator and zygomaticus for part B)
- annotation: stimulus (calibrated per person)

## BP4D-Spontaneous Database
- [Website](http://www.cs.binghamton.edu/~lijun/Research/3DFE/3DFE_Analysis.html)
- subjects: 41 healthy adults (age 18-29)
- stimuli: 41  cold  pressor  task;  emotion  elicitation
- data modalities: video of face (color & 3D)
- annotation: stimulus, FACS coding

## BP4D+ Database
- [Website](http://www.cs.binghamton.edu/~lijun/Research/3DFE/3DFE_Analysis.html)
- subjects: 140 healthy adults (age 18-66)
- stimuli: 140 cold pressor task; emotion elicitation
- data modalities: video of face (color, 3D, thermal), heart rate, respiration rate, blood pressure, EDA
- annotation: stimulus, FACS coding

## MIntPAIN Database
- [Website](http://www.vap.aau.dk/mintpain-database/)
- subjects: 20 healthy adults (age 22-42)
- stimuli: 2k electrical pain (40 stimuli in 4 intensities × 2 trials × 20 participants)
- data modalities: video of face (color, depth, thermal)
- annotation: stimulus (calibrated per person), self-report (VAS)

## COPE Database
- [Paper](http://www.brahnam.info/papers/EN2031.pdf); to get the data, ask [Prof. Sheryl Brahnam](http://www.brahnam.info/)
- subjects: 26 neonates (age 18-36 hours)
- stimuli: 60 heel lancing for blood collection; non-painful stimuli
- data modalities: 204 photographs of face
- annotation: category (pain, rest, cry, air puff, or friction)

## YouTube Dataset
- [Paper](https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4049389/); to get the data, ask [Prof. Denise Harrison](https://health.uottawa.ca/people/harrison-denise)
- subjects: 142 infants (age 0-12 months)
- stimuli: immunizations (injection)
- data modalities: 142 videos with audio
- annotation: FLACC observer pain assessment

## Infant Cry Signals Database (IIIT-S ICSD)
- [Paper 1](https://www.isca-speech.org/archive/SLPAT_2016/pdfs/7.pdf), [Paper 2](http://ltrc.iiit.ac.in/icon2016/proceedings/icon2015/pdf/W15-5917.pdf); to get the data, ask Prof. Vinay Kumar Mittal (see mail address in papers)
- subjects: 33 infants (age 3-24 months)
- stimuli: immunizations (injection) and other pain causes; non-painful cry causes
- data modalities: 693 audio cry samples
- annotation: category annotated by doctors and parents (pain, discomfort, hunger/thirst, and three others)

## Neonatal Pain Assessment Database 1 (NPAD-1)
- [Website](http://rpal.cse.usf.edu/project_neonatal_pain/dataset.html), [Paper](https://ieeexplore.ieee.org/document/8758989)
- subjects: 6 newborns and premature neonates
- stimuli: painful procedures (e.g., heel lancing and immunization)
- data modalities: videos with audio, vital signs
- annotation: pain assessment by two trained nurses with Neonatal Infant Pain Scale (NIPS); Gestational Age (GA), clinical data (e.g., the medication type/dose), birth-weight, race/ethnicity, gender, and non-pharmacological interventions (e.g., oral sucrose and the pacifier use)

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