Project Research

Affective Robotic Ring

An affective robotic ring which allows users to interact with multiple robots using finger gestures.- Runs on Robotic Operating System (R...
Project Research

BioEssence

A wearable olfactory display that monitors cardio-respiratory information with the aspiration to support mental wellbeing.BioEssence is a...
Project Research

UncNet: Modeling uncertainty in deep learning for inherently subjective tasks

Automatic emotion recognition has become a well-established machine learning task in recent years. The sensitive and subjective nature of...
Project Research

Wearable and Biometric Olfactory Interfaces for Day and Night

Human-computer interaction (HCI) has traditionally focused on designing and investigating interfaces that provide explicit visual, audito...
Project Research

Personalized Machine Learning for Future Health

​The view on Alzheimer’s Disease (AD) diagnosis has shifted towards a more dynamic process in which clinical and pathological markers evo...
Project Research

Emotion Navigation

Before automobiles were invented and widely adopted, animals like horses were the most common mode of transportation. While this change b...
Project Research

Adaptive Music for Affect Improvement

Adaptive Music for Affect Improvement (AMAI) is a music generation and playback system with the goal of steering the listener toward a st...
Project Research

Improving Wellbeing for Office Workers

Excessive stress can decrease office workers' productivity and negatively impact overall health. This project aims to predict office work...
Project Research

Personalized Animated Movies

Storytelling is a fundamental way in which human beings understand the world. Imagine watching a movie telling the story of your life, ho...
Project Research

Improving wellbeing prediction performance using temporal machine learning models

This project aims to improve the prediction accuracy of wellbeing (stress, mood, and health levels) using temporal machine learning model...
Project Research

SNAPSHOT Study

The SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-fun...
Project Research

BrainBeat: Breath-based music therapy

Can we sonfiy calming breathing and passively influence a state of calm?Deep breathing has been scientifically proven to affect the heart...
Project Research

WorldBeat: Hearing the world differently

Can we modulate the way we hear the world around us to make it more calming or to induce focus? While technology is usually associated wi...
Project Research

SPRING: A Smart Platform for Research, Intervention, and Neurodevelopmental Growth

SPRING is a custom-built hardware and software platform for children with neuro-differences. The system automates data acquisition, optim...
Project Research

Predicting students' wellbeing from physiology, phone, mobility, and behavioral data

The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obt...
Project Research

Modulating peripheral and cortical arousal using a musical motor response task

We are conducting EEG studies to identify the musical features and musical interaction patterns that universally impact measures of arous...
Project Research

Learning via Social Awareness: Improving sketch representations with facial feedback

In the quest towards general artificial intelligence (AI), researchers have explored developing loss functions that act as intrinsic moti...
Project Research

BrightBeat: Effortlessly influencing breathing for cultivating calmness and focus

The relationship between breathing and self-reported stress is bidirectional. Respiration pattern is an indicator of stress, but it can a...
Project Research

An EEG and motion-capture based expressive music interface for affective neurofeedback

This project examines how the expression granted by new musical interfaces can be harnessed to create positive changes in health and well...
Project Research

Leveraging artificial intelligence for the assessment of severity of depressive symptoms

Depressive disorders are ranked as the single largest contributor to non-fatal health loss (7.5% of all Years Lived with Disability), aff...
Project Research

Personalized Machine Learning for Autism Therapy

EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a proj...
Project Research

EmotionalBeasts

With advances in virtual reality (VR) and physiological sensing technology, even more immersive computer-mediated communication through l...
Project Research

Image Sentiment Analysis

 In this project we explore how to recognize and localize affect in images.
Project Research

Machine Learning for Pain Measurement

Pain is a subjective experience commonly measured through patients' self reports. Unfortunately, self-report measures only work when...
Project Research

Realtime Detection of Social Cues

Realtime detection of social cues in children’s voicesIn everyday conversation, people use what are known as backchannels to signal to so...
Project Research

QuantifyMe

Unlike traditional randomized controlled trials that generalize relationships in large groups of people, single-case experiments seek to ...
Project Research

Behavioral Indications of Depression Severity

In collaboration with Massachusetts General Hospital, we are conducting a clinical trial exploring objective methods for assessing depres...