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Cognitive, Language, Learning Disabilities & Low Literacy

A machine learning algorithm successfully screens for Parkinson's in web users

B. Youngmann, L. Allerh, O. Paltiel, E. Yom‐Tov, D. Arkadir

Mouse and keyboard interactions with a search engine can provide data that is used in a classifier to reliably detect individuals at high risk for actual Parkinson's disease and serve as an idicator for the progression of the disease Microsoft bing search queries were collected and the cursor movements and keystrokes were recorded
Tags: 
Parkinson's disease

Personalizing ASR for Dysarthric and Accented Speech with Limited Data

J. Shor, D. Emanuel

A new dataset and transfer learning approach is described in order to improve automatic speech recognitions for underrepresentive populations. Participants read sentences from Cornell Movie-Dialogs Corpus, a collection of sentences used by text-to-speech voice actors, and a modified selection of sentences from the Boston Children’s Hospital.
Tags: 
DysarthriaSpeech recognitionAmyotrophic Lateral SclerosisAccented Speech

Providing good memory cues for people with episodic memory impairment

Matthew L. Lee, Anind K. Dey

This work studies best memory cues for aiding individuals with episodic memory impairment to inform the design of lifelogging technologies for automatically capturing and extracting the cues and supporting recollection of episodic memory. Each participant wore a SenseCam for a session of any particular activity of 2-8 hours respectively. The SenseCam took images every 2 minutes from a first-person perspective, then they were shown time distributed samples of 100 images and their descriptions about the images were collected.
Tags: 
Alzheimer's diseaseEpisodic Memory Impairment

A Video-Based Method for Automatically Rating Ataxia

R. Jaroensri

A dataset of video demonstrations is collected to build a neural network based classifier for automatically ataxia. A video of hand movements is collected while participants perform a hand-to-note test and then it is labelled by a clinician.
Tags: 
Parkinson's diseaseAtaxia

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.
Tags: 
Parkinson's diseaseDysarthriaFrench

A Corpus of Text Data and Gaze Fixations from Autistic and Non-autistic Adults

V. Yaneva, I. Temnikova, R. Mitkov

This work creates a corpus of text data and its corresponding gaze fixations obtained from autistic and non-autistic readers so as to create a resource for investigating the particular linguistic constructions which pose reading difficulties for people with autism. Participants were asked to read 9 texts and answer 3 multiple choice questions (MCQs) per text. While reading, the eye movements of the participants were recorded with an eye-tracking device.
Tags: 
Autism Spectrum DisordersReadingEye tracking

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.
Tags: 
Parkinson's disease

On the Use of a Serious Game for Recording a Speech Corpus of People with Intellectual Disabilities

M. Corrales-Astorgano, D. Mancebo, Y. Gutiérrez-González, V. Flores-Lucas, C. Ferreras, V. Cardeñoso-Payo

A speech corpus focused on prosody of individuals with intellectual disability/ Recording of speech while playing a game was collected.
Tags: 
Intellectual DisabilityIntellectual and Developmental DisabilityDown's Syndrome

Diagnosing People with Dementia Using Automatic Conversation Analysis

B. Mirheidari, D. Blackburn, M. Reuber, T. Walker, H. Christensen

Apply conversation analysis (CA) to doctor-patient interactions and find characteristics that could be used to distinguish between patients with neurodegenerative dementia (ND) and patients with Functional Memory Disorder (FMD) (not dementia-related) Audio recordings of conversations were collected, transcribed and 21 features were extracted from them that could potentially differentiate between patients with neurogenerative disorders and functional memory disorders.
Tags: 
Functional Memory DisorderDementia

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.
Tags: 
Parkinson's disease