banking and finance
internet of things
neural interfacing and control
point of care
sports and fitness
natural language processing
The goal of this project is to apply machine learning methods to model the wellbeing of MIT undergraduate students. Extensive data is obt...
Staining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various tissue types and...
The Mediated Atmosphere project envisions a smart office that is capable of dynamically transforming itself to enhance occupants' work ex...
Maggie Coblentz is developing “The Interplanetary Cookbook”—a collection of speculative recipes, tools for eating, and sensory experience...
Academic research groups, especially the ones directed by new junior faculty, are under pressure to produce high-quality work timely whil...
On-face wearables are currently limited to piercings, tattoos, or interactive makeup that aesthetically enhances the user, and ...
The Guardians Project aims to use the same game design principles used in mobile games to help people form beneficial long-term habits an...
The rapid advancement of electronic devices and fabrication technologies has further promoted the field of wearables and smart textiles. ...
InspirationSleep is a forgotten country of the mind. A vast majority of our technologies are built for our waking state, even though a th...
A wearable olfactory display that monitors cardio-respiratory information with the aspiration to support mental wellbeing.BioEssence is a...
Human-computer interaction (HCI) has traditionally focused on designing and investigating interfaces that provide explicit visual, audito...
Real World Data (RWD) and Real World Evidence (RWE) are playing an increasing role in healthcare decisions to support innovative use of E...
My research reduces dependence on specialized medical imaging devices, biological and chemical processes and creates new paradigms for us...
[Update 02/04/2020: This project has open positions for UROPs/visiting students or interns. One position focuses around electrical engine...
Humans can accurately sense the position, speed, and torque of their limbs, even with their eyes shut. This sense, known as proprioceptio...
We are working on communication interfaces for people with speech and language disorders, incorporating technologies like physiological s...
AlterEgo is a non-invasive, wearable, peripheral neural interface that allows humans to converse in natural language with mach...
Wearables are being widely researched for monitoring individual's health and wellbeing. Current generation wearable devices sense an indi...
Complex biological systems such as brain circuits are extended 3-D structures made out of nanoscale building blocks such as proteins, RNA...
OverviewPAL is a wearable platform for personalized, context-aware, and always-present user change. PAL has mu...
Lab on Body, Synthetic Biology, and Bio-Digital Systems for Health and Human Enhancement
Lyme disease is the most common vector-borne infection in North America. People are infected when bitten by ticks; ticks are typically in...
Two-dimensional radiographs are commonly used for evaluating sub-surface hard structures of teeth, but they have low sensitivity for earl...
Today’s assistive communication devices are far from perfect. Using state of the art small, wearable sensors and powerful machine learnin...
Three-dimensional Digital Image Correlation (3D-DIC) is a non-contact optical-numerical technique for evaluating the dynamic mechani...
Conversations between two individuals—whether between doctor and patient, mental health therapist and client, or between two people roman...
Opioid therapy is the cornerstone of management of pain in the ICU. However, opioids present numerous side effects and are highly addicti...
Technical summary: Future of clinical development is on the verge of a major transformation due to convergence of large new digital data ...
Although there have been great advances in the control of lower extremity prostheses, transitioning between terrains such as ramps or sta...
Although significant progress is being made in identifying pH sensing materials and device configurations, a standard protocol for ...
Nearly all classes of wearable and implantable biomedical devices depend on battery power for continuous operation. However, the life spa...
The Huggable is a new type of robotic companion for health care, education, and social communication applications. The Huggable is much m...
The past two decades have seen unprecedented progress in the development of novel materials, form factors, and functionalities in neuroi...
Leveraging sneaker culture to influence civic engagement. Marginalized groups have influence on digital platforms but are often unhe...
The SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-fun...
Recent advances in artificial limbs have resulted in the provision of powered ankle and knee function for lower extremity amputees and po...
The human ankle provides a significant amount of net positive work during the stance period of walking, especially at moderate to fast wa...
Lower-extremity amputation surgery has not seen significant change since the Civil War. This research is focused on the development of no...
Optogenetic techniques have recently been applied to peripheral nerves as a scientific tool with the translatable go...
Nerve-Muscle Graft Chamber and micro-channel arrays tor interface to peripheral nerves for prosthesis control. This research effort ...
The delivery of mental health interventions via ubiquitous devices has shown a lot of promise. A natural conversational interface that al...
A Case for Breastfeeding InnovationBreastfeeding saves lives.If women globally were able to meet the WHO's public health goal to exclusiv...
Can a person look at a portable display, click on a few buttons, and recover his or her refractive condition? Our optometry solution comb...
Asthma is the most common chronic illness among children. The skills required to diagnose it make it an even greater concern. Our solutio...
Climate change is going to alter the environments that we depend on in myriad ways. We're using data to identify and quantify these poten...
This study aims to bring objective measurement to the multiple "pulse" and "pulse-like" measures made by practitioners of traditional Chi...
The relationship between breathing and self-reported stress is bidirectional. Respiration pattern is an indicator of stress, but it can a...
A learning framework for secure, decentralized, computationally efficient data and model sharing among multiple robot units installed at...
Swarms of robots will revolutionize many applications, from targeted material delivery to farming. However, the characteristics that make...
We introduce SkinBot: a lightweight robot that moves over the skin's surface with a two-legged suction-based locomotion mechanism and cap...
HeartBit is an interface designed for haptic heart rate biofeedback. A handheld heart beats alongside your own, mirroring the size, weigh...
NeverMind is an interface and application designed to support human memory. We combine the memory palace memorization method with augment...
In the United States, there are an estimated 1.7 million people living with amputation, with that number expected to double by 2050. Com...
We are providing our tools to the community, and also using them within our lab, to analyze how specific brain mechanisms (molecular, cel...
The brain is a three-dimensional, densely-wired circuit that computes via large sets of widely distributed neurons interacting at fast ti...
We have pioneered the development of fully genetically encoded reagents that, when targeted to specific cells, enable their physiology to...
New technologies for recording neural activity, controlling neural activity, or building brain circuits, may be capable someday of servin...
Today’s health sensors (which monitor breathing, heartbeats, steps, etc.) require their users to wear them on their bodies. In contrast, ...
inSight is a brain decoding system. It uses generative models (BigGAN and MusicVAE) to stimulate the brain with synthetic, but natu...
EngageME: Personalized machine learning and humanoid robots for measuring affect and engagement of children with autismEngageME is a proj...
In-Vivo Networking (IVN) is the new technology that can wirelessly power and communicate with tiny devices implanted deep within the...
We have developed a wireless system that leverages the inexpensive RFID tags already on hundreds of billions of products to sense potent...
General overview:Sepsis, a life-threatening complication of bacterial infection, leads to millions of worldwide deaths requires significa...
General OverviewStaining of tissues sections using chemical and biological dyes has been used for over a century for visualizing various ...
Imaging fluorescent disease biomarkers in tissues and skin is a non-invasive method to screen for health conditions. We report an automat...
This project seeks to examine the effects of altered gravity on an individual’s physiology during parabolic flight. Specifically, we will...
Technical summaryUnstructured learning problems without well-defined rewards are unsuitable for current reinforcement learning (RL) appro...
We have developed a new process to screen patients at the point-of-care with FDA-approved technology-enabled mobile health screenings (TE...