Meet the people of the ADSL

Current members

Steven R. Livingstone

Principal investigator

PhD students

Tahmina Akhter

Respiration and emotion

Gorkem Vardar

Deep physiology of emotion

MSc students

Gavin Bosman

PyFAME: A Python package for facial masking, colorization, and analysis

Douglas Conley

EMGFlow: A Python package for pre-processing and feature extraction of electromyographic signals

Dylan Rapanan

Emotional responses to virtual avatars

David Houle-tymeczko

Animating virtual models from speech

Heisn Nithysingha

Classifying deep physiological emotions

Fourth year students

Adam Kolodziejczak

Emotion detection while debugging

David Garcia

Peak Affect Dataset Predictive Analytics

Sheida Ebrahimi Siaghi

Effect of music tempo on listener dynamics

May Robertson

Developing a music streaming visualiser

Former members

Supervised positions in parentheses

Nick Greene (MSc, Hons)

Biomarkers of emotion

Adeliz Keith (MSc)

Gaze-aware documents

Abinaya Jayanthi (Hons)

MetaBot: a meta-level chatbot agent

Tim Kern (Hons)

Classifying emotions in speech across languages

Joshua Trower (Hons)

Classification of depression from speech: A transfer learning approach

Tristan Ro (Hons)

Classifying American football coverage

Riley Swanson (UG)

Facial expressions meet big data

Matt Divertie (UG)

Developing a low-cost computer-based intervention for patients with Parkinson’s disease

Bohdan Synytskyi (UG)

PyOcclusion: A python package for adding occlusionary noise to videos

Syed Naqvi (UG)

Audiomorph: A python package for adding auditory noise

Zhenghao Liao (UG)

Facial Expression and Landmark Tracking (FELT) dataset

Aiju Kinoshita (Hons)

Mapping speech to expressive avatars

Dev Thaker (Hons)

Emotional events in computer programming