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Physical Disabilities

A physical disability is a limitation on a person's physical functioning, mobility, dexterity or stamina

The DesPho-APaDy Project

C. Fougeron, L. Crevier-Buchman, C. Fredouille, A. Ghio, C. Meunier, C. Chevrie-Muller, N. Audibert, J.-F. Bonastre, A. Colazo Simon, C. Delooze, D. Duez, C. Gendrot, T. Legou, N. Levèque, C. Pillot-Loiseau, S. Pinto, G. Pouchoulin, D. Robert, J. Vaissier

Provide a systematic and quantified description of French dysarthric speech, over a large population of patients and three dysarthria types (related to the parkinson's disease, the Amyotrophic Lateral Sclerosis disease, and a pure cerebellar alteration). This dataset is made up of two corpus, Aix-Neurology-Hospital corpus and CCM corpus. Patients were recorded while going through a variety of speech tasks like counting, storytelling, word lists, syllables, vowels, spontaneus speech and sentence lists.
 2010 1850
  • Cognitive
  • Speech
Audio
Text
Tags: 
Parkinson's diseaseDysarthriaFrench
Paper
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PDLens

H. Zhang, G. Guo, C. Song, C. Xu, K. Cheung, J. Alexis, H. Li, D. Li, K. Wang, W. Xu

PDLens, a smartphone-based system, extracts digital behavioral markers related to PD drug responses from everyday activities to detect drug efectiveness. Digital PD biomarkers were collected from three everyday activities, i.e., walking, standing, and talking and drug effectiveness was detected by measuring the symptom severity before and after drug intake.
 2020 81
  • Cognitive
  • Health
  • Mobility
Audio
Motion
Tags: 
Parkinson's disease
Paper
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A neural network system for diagnosis and assessment of tremor in parkinson disease patients

O. Bazgir, J. Frounchi

Smartphone sensors are used to classify tremors in Parkinson's patients corellated with the UPDRS scale. Participants wore smartphone based gloves and data during tremors was collected, data from 43 participants was collected for training the neural network classifier and another 9 participants produced the testing set.
 2015 52
  • Cognitive
  • Mobility
Motion
Tags: 
Parkinson's disease
Paper
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Data augmentation of wearable sensor data for parkinson’s disease monitoring using convolutional neural networks

T. Um, F. Pfister, D. Pichler, S. Endo, M. Lang, S. Hirche, U. Fietzek, D. Kulić

A dataset of daily living conditions from patients with Parkinson's disease is collected and various data augmentatin techiniques are applied to make the dataset more amenable to deep learning techinques. Microsoft wearable band accelerometer data of patients with Parkinson's disease is collected
 2017 30
  • Mobility
Motion
Tags: 
Parkinson's disease
Paper
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Detecting Motor Impairment in Early Parkinson’s Disease via Natural Typing Interaction With Keyboards: Validation of the neuroQWERTY Approach in an Uncontrolled At-Home Setting

M. Gray, L. Giancardo, Á. Sánchez-Ferro

A dataset of keypress timings for detecting Parkinson's disease is collected. Key press times were recorded while participants conducted a controlled typing task at their home.
 2018 25
  • Cognitive
  • Mobility
Logs
Tags: 
Parkinson's diseaseMotor impairment
Paper
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Multimodal assessment of Parkinson’s disease: a deep learning approach

J. C. Vasquez-Correa, T. Arias-Vergara, J. R. Orozco-Arroyave, B. Eskofier, J. Klucken, E. Noth

This work aims to model difficulties in starting or to stoping movements in speech, handwriting, and gait and use those transitions to train convolutional neural networks to classify patients and healthy subjects. The subjects performed a total of 14 tasks divided into writing and drawing tasks on a tablet that captured six different signals: x-position, yposition, in-air movement, azimuth, altitude, and pressure.
 2018 44
  • Cognitive
  • Mobility
  • Speech
Audio
Image
Motion
Sensing
Text
Tags: 
Parkinson's disease
Paper
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Spanish PerLA

J. Mantero, B. Gallardo-Pauls

People with Alzeimer's disease speakout narrative phrases to build database of speech data for understanding patterns in their articulation. Transcripts and audio are collected as speakers read out text in Spanish.
 2014 21
  • Cognitive
  • Health
  • Speech
Audio
Text
Tags: 
DementiaAlzheimer's disease
Dataset
Paper
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The mPower study, Parkinson disease mobile data collected using ResearchKit

Stephen H. Friend, Andrew D. Trister

A mobile app to collect various test like, tapping acitvity, voice samples, memory activity and more is collected from people with and without self-identified Parkinson's disease. Participants used the smartphone app to record and register 4 activities, tapping, memory test, walking and voice samples were recorded
 2016 1087
  • Cognitive
  • Mobility
Audio
Logs
Motion
Text
Tags: 
Parkinson's disease
Dataset
Paper
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Population-scale hand tremor analysis via anonymized mouse cursor signals

R. White, E. Horvitz

Cursor logs from an anonymized sample of millions of searchers on the Microsoft Bing search engine are collected and analyzed. They also conduct a 1000 participant study to confirm the validity of the population scale results. Microsoft bing search queries are used as proxies and the cursor movements are recorded.
 2019 632
  • Cognitive
  • Mobility
Logs
Motion
Text
Tags: 
Parkinson's diseaseEssential tremor
Paper
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Activity detection and recognition of daily living events

K. Avgerinakis, A. Briassouli, I. Kompatsiaris

Video activity data from people with dementia, people with mild cognitive impairment, and healthy ones are collected to develop activity detection and recognition systems. Participants are asked to perform a set of activities like serving beverage in a home-like environment.
 2013
  • Cognitive
  • Mobility
Video
Tags: 
DementiaActivities of Daily Living
Dataset
Paper
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