banking and finance
internet of things
neural interfacing and control
point of care
sports and fitness
natural language processing
This project was selected to represent MIT at the Microsoft Design Expo 2020 on ‘Healthier Futures.’ iNonymizeA tele-mental health p...
Human-computer interaction (HCI) has traditionally focused on designing and investigating interfaces that provide explicit visual, audito...
dementAI is an open-source platform for modeling risk stratification of Alzheimer's dementia using spontaneous speech through ...
“Us” aims to help people develop their sense of empathy. It uses machine learning to analyze interlocutors’ signals (e.g., tone of voice,...
This project is supported by the Abdul Latif Jameel Clinic for Machine Learning in Health (J-Clinic), the National Institutes of Hea...
In collaboration with Massachusetts General Hospital, we are conducting a clinical trial exploring objective methods for assessing depres...
Can we sonfiy calming breathing and passively influence a state of calm?Deep breathing has been scientifically proven to affect the heart...
SPRING is a custom-built hardware and software platform for children with neuro-differences. The system automates data acquisition, optim...
The Project on Affinities and Language (PAL) is designed to help us understand what happens in a child’s brain when they engage with thei...
The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obt...
An affective robotic ring which allows users to interact with multiple robots using finger gestures.- Runs on Robotic Operating System (R...
A wearable olfactory display that monitors cardio-respiratory information with the aspiration to support mental wellbeing.BioEssence is a...
Automatic emotion recognition has become a well-established machine learning task in recent years. The sensitive and subjective nature of...
The view on Alzheimer’s Disease (AD) diagnosis has shifted towards a more dynamic process in which clinical and pathological markers evo...
Before automobiles were invented and widely adopted, animals like horses were the most common mode of transportation. While this change b...
Adaptive Music for Affect Improvement (AMAI) is a music generation and playback system with the goal of steering the listener toward a st...
Excessive stress can decrease office workers' productivity and negatively impact overall health. This project aims to predict office work...
Storytelling is a fundamental way in which human beings understand the world. Imagine watching a movie telling the story of your life, ho...
This project aims to improve the prediction accuracy of wellbeing (stress, mood, and health levels) using temporal machine learning model...
The SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-fun...
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...
We are conducting EEG studies to identify the musical features and musical interaction patterns that universally impact measures of arous...
In the quest towards general artificial intelligence (AI), researchers have explored developing loss functions that act as intrinsic moti...
The relationship between breathing and self-reported stress is bidirectional. Respiration pattern is an indicator of stress, but it can a...
This project examines how the expression granted by new musical interfaces can be harnessed to create positive changes in health and well...
EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a proj...
With advances in virtual reality (VR) and physiological sensing technology, even more immersive computer-mediated communication through l...
In this project we explore how to recognize and localize affect in images.
Pain is a subjective experience commonly measured through patients' self reports. Unfortunately, self-report measures only work when...
Realtime detection of social cues in children’s voicesIn everyday conversation, people use what are known as backchannels to signal to so...
Unlike traditional randomized controlled trials that generalize relationships in large groups of people, single-case experiments seek to ...