Patrick Neff

Context Data Categories and Privacy Model for Mobile Data Collection Apps

Context-aware applications stemming from diverse fields like mobile health, recommender systems, and mobile commerce potentially benefit from knowing aspects of the user's personality. As filling...

TYDR - Track Your Daily Routine. Android App for Tracking Smartphone Sensor and Usage Data

We present the Android app TYDR (Track Your Daily Routine) which tracks smartphone sensor and usage data and utilizes standardized psychometric personality questionnaires. With the app, we aim at...

Parameterized Cortical Power Spectra as a Novel Neural Feature for Real Time BCI

Advances on Real Time M/EEG Neural Feature Extraction

Auditory Phantom Perceptions (Tinnitus) and Neurofeedback Training 'In the Wild': A Feasibility Study on Home Treatment

Mobile Crowdsensing for the Juxtaposition of Realtime Assessments and Retrospective Reporting for Neuropsychiatric Symptoms

ANT - Advancing Neurofeedback (In Tinnitus)

Classifying Residual Inhibition in the Context of Tinnitus: An Interpretable Machine Learning Approach

Designing Feedback Stimuli in Neurofeedback: Preliminary Requirements from Experts and Users

Ecological Momentary Assessment based Differences between Android and iOS Users of the TrackYourHearing mHealth Crowdsensing Platform

Deep Learning End-to-End Approach for the Prediction of Tinnitus based on EEG Data

Skill Development and Stabilisation of Expertise for Electronic Music Performance