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Cognitive, Language, Learning Disabilities & Low Literacy

WLA4ND: a Wearable Dataset of Learning Activities for Young Adults with Neurodiversity to Provide Support in Education

H. Zheng, P. Mahapasuthanon, Y. Chen, H. Rangwala, A. Evmenova, V. Motti

The dataset consists of data collected with smartwatch built-in sensors, representing learning activities from participants with neurodiversity, which can be used for activity recognition, automatic labeling, and assistive wearable applications. The activities include reading, writing, typing, answering follow-up questions, and off-task that are collected using motion sensors and a heart rate sensor.
Tags: 
NeurodiversityAutism Spectrum DisordersAttention Deficit and Hyperactivity DisorderIntellectual and Developmental Disability

Autism detection based on eye movement sequences on the web: a scanpath trend analysis approach

S. Eraslan, Y. Yesilada, V. Yaneva, S. Harper

Dataset of eye tracking fixations and scanpaths is collected to perform scanpath trend analysis, in order to assess the similarity of trends between people with autism and neurotypical people Eye tracking data is collected as people with autism and neurotypical people surf through 6 websites for performing 2 tasks.
Tags: 
Eye trackingAutism detection

Learning to Predict Autism Spectrum Disorder based on the Visual Patterns of Eye-tracking Scanpaths

R. Carette, M. Elbattah, F. Cilia, G. Dequen, J. Guérin, J. Bosche

This work supports ASD diagnoses in early stage development using eye-tracking scanpaths, Participants were shown videos of vaying length and the eye movement was then tracked.
Tags: 
Eye trackingeye-tracking

CADENCE Corpus

Maria K. Wolters, J. Kilgour, Sarah E. MacPherson, M. Dzikovska, Johanna D. Moore

Older people with and without cognitive impairment or dementia were recruited to collect their spoken interactions with a voice interface to design Intelligent Cognitive Assistants. The corpus consists of transcribed spoken interactions collected through a calendar app interface on an iPad 2 tablet.
Tags: 
Cognitive impairmentDementiaAlzheimer's disease

The TORGO database of acoustic and articulatory speech from speakers with dysarthria

F. Rudzicz, A. Namasivayam, T. Wolff

This database is orignally created for a resource for developing advanced models in automatic speech recognition that are more suited to the needs of people with dysarthria. It consists of aligned acoustics and measured 3D articulatory features from speakers with either cerebral palsy (CP) or amyotrophic lateral sclerosis (ALS).
Tags: 
speechArticulationDysarthria

Gait in Parkinson’s Disease

Jeffrey M. Hausdorff

A dataset of gait from patients with Parkinson's disease and healthy people is collected. Participants wore 16 sensors that recorded the normal reaction forces of steps and interial measurements as they walked for 2 minutes on level ground.
Tags: 
Parkinsons

Tappy Keystroke Data

Warwick R. Adams

Keystroke logging app, Tappy, is used to build a dataset for detecting changes in characteristics of Parkinson's disease. A keystroke logging app, Tappy, was installed on participants personal computers. It recorded key press and release timings as the participants work on their computers at home.
Tags: 
ParkinsonsFinger movement

Gait Dynamics in Neurodegenerative Disease Database

Jeffrey M. Hausdorff

A dataset of gait dynamics is collected to quantify the effect of neuro-generative diseases on mobility. Patients and control participants wore force resistive sensors as they walk on a predefined path, features for each stride is computed and provided.
Tags: 
ParkinsonsHuntingtons

PD_MIT-CS1PD:Computer keyboard interaction as an indicator of early Parkinson's disease

L. Giancardo, A. Sánchez-Ferro, T. Arroyo-Gallego, I. Butterworth, C. S. Mendoza, P. Montero, M. Matarazzo, J. A. Obeso, M. L. Gray, R. San José Estépar

Two datasets of key press and release timings is collected to detect motor impairment in early stage Parkinson's disease, this is the smaller dataset. Keyhold times for typing tasks is recorded for building a machine learning model for detecting motor impairment.
Tags: 
Parkinsonsphysical

Hypernasality detection

M. Novotný, J. Rusz​, R. Čmejla, H. Růžičková, J. Klempíř, E. Růžička

This work aims to analyze hypernasality due to basal ganglia dysfunction in Huntington and Parkinsons Patients. Participants speech recorded through head mounted condenser microphone and then analysed and rated by 10 raters including 1 speech language pathologist, 6 acoustic speech specialists and 3 clinicians.
Tags: 
ParkinsonsHuntingtonsHypernasality