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...
We propose a general method for improving the structure and quality of sequences generated by a recurrent neural network (RNN), while mai...
Machine Learning and Humanoid Robots for Measuring Engagement of Children with AutismEngageME is a project aimed at building a new techno...
Unlike traditional randomized controlled trials that generalize relationships in large groups of people, single-case experiments seek to ...
We show that using thin slices (< 1 minute) of facial expression and body language data, we can train a deep neural network to predict...
Animated GIFs are widely used on the Internet to express emotions, but automatic analysis of their content is largel...
Individuals with autism are known to have difficulties connecting with other people, reciprocating social interactions, and being emotion...
SPRING is a custom-built hardware and software platform for children with neuro-differences. The system automates data acquisition, optim...
We are conducting EEG studies to identify the musical features and musical interaction patterns that universally impact measures of arous...
This study aims to bring objective measurement to the multiple "pulse" and "pulse-like" measures made by practitioners of traditional Chi...
A common practice in Traditional Chinese Medicine (TCM) is visual examination of the patient's tongue. This study will examine ways to ma...
The relationship between breathing and self-reported stress is bidirectional. Respiration pattern is an indicator of stress, but it can a...
This study attempts to examine humans' affective responses to superimposed sinusoidal signals. These signals can be perceived either thro...
Electrodermal Activity (EDA) is a physiological indicator of stress and strong emotion. While an increasing number of wearable devices ca...
We have designed a novel system to promote kindness and gratitude. We leverage pervasive technologies to naturally embed gratitude inspir...
Mental wellbeing is intimately tied to both social support and physical activity. The Challenge is a tool aimed at promoting social conne...
Electrodermal activity (EDA) recording is a powerful, widely used tool for monitoring psychological or physiological arousal. However, an...
We are applying learnings from the SNAPSHOT study to the problem of changing behavior, exploring the design of user-centered tools which ...
The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obt...
Depression correlated with anxiety is one of the key factors leading to suicidal behavior, and is among the leading causes of death world...
This project examines how the expression granted by new musical interfaces can be harnessed to create positive changes in health and well...
We are developing statistical tools for understanding, modeling, and predicting self-harm by using advanced probabilistic graphical model...
Conversations between two individuals—whether between doctor and patient, mental health therapist and client, or between two people roman...
Current methods to assess depression and then ultimately select appropriate treatment have many limitations. They are usually based on ha...
The proliferation of smartphones and wearable sensors is creating very large data sets that may contain useful information. However, the ...
We explore advanced machine learning and reflective user interfaces to scale the national Crisis Text Line. We are using state-of-the-art...
Receiving a shot or discussing health problems can be stressful, but does not always have to be. We measure participants' skin conductanc...
With the LEGO Group and Hasbro, we looked at the emotional experience of playing with games and LEGO bricks. We measured participants' sk...
The SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-fun...
Stories, language, and art are at the heart StoryScape. While StoryScape began as a tool to meet the challenging language learning needs ...
The wide availability of low-cost, wearable, biophysiological sensors enables us to measure how the environment and our experiences impac...
Panoply is a crowdsourcing application for mental health and emotional wellbeing. The platform offers a novel approach to computer-based ...
Complex and expensive medical devices are mainly used in medical facilities by health professionals. IDA is an attempt to disrupt this pa...
Technologies to automatically recognize stress are extremely important to prevent chronic psychological stress and pathophysiological ris...
Physiological arousal is an important part of occupational therapy for children with autism and ADHD, but therapists do not have a way to...
We are developing a mobile phone-based platform to assist people with chronic diseases, panic-anxiety disorders, or addictions. Making us...
We are performing long-term measurements of autonomic nervous system (ANS) activity on patients with epilepsy. In certain cases, autonomi...
Humans need sleep, along with food, water, and oxygen, to survive. With about one-third of our lives spent sleeping, there has been incre...