Research — MIT Media Lab

We are an antidisciplinary research lab working to invent the future of

human-machine interaction
health
art
learning
artificial intelligence
architecture
robotics
consumer electronics
kids
music
networks
design
wearable computing
politics
entertainment
history
economy
cognition
bioengineering
archives
technology
social science
storytelling
machine learning
interfaces
data
sensors
developing countries
human-computer interaction
space
prosthetics
wellbeing
social robotics
computer science
engineering
environment
social media
ethics
civic media
privacy
imaging
civic technology
urban planning
synthetic biology
neurobiology
affective computing
augmented reality
communications
transportation
virtual reality
energy
data visualization
computer vision
biology
food
biotechnology
blockchain
agriculture
social change
3d printing
genetics
biomechanics
gaming
banking and finance
manufacturing
crowdsourcing
open source
systems
behavioral science
government
industry
cryptocurrency
public health
zero gravity
prosthetic design
wiesner
social networks
collective intelligence
fashion
community
makers
data science
ocean
performance
racial justice
language learning
ecology
internet of things
perception
nonverbal behavior
medicine
security
construction
neural interfacing and control
autonomous vehicles
extended intelligence
climate change
visualization
mapping
human augmentation
gesture interface
physiology
long-term interaction
civic action
networking
interactive
holography
point of care
orthotic design
bionics
trust
fabrication
pharmaceuticals
women
natural language processing
autism research
clinical science
hacking
mechanical engineering
startup
alumni
academia
sports and fitness
rfid
cognitive science
member company
open access
clinical trials
gender studies
member event
marginalized communities
trade
primary healthcare
soft-tissue biomechanics
voice
materials
chemistry
real estate
electrical engineering
randomized experiment
diversity
biomedical imaging
water
microbiology
gis
mechatronics
publishing
event
exhibit
cartography
metamaterials
installation

Research

Camera Culture

Making the invisible visible–inside our bodies, around us, and beyond–for health, work, and connection

Article Research

E14 Fund helps Media Lab community deploy startups

“First and foremost we’re a community-builder,” says Habib Haddad, a managing partner of the venture fund.

Archived

Project Research

Zensei: Embedded, Multi-Electrode Bioimpedance Sensing for Implicit, Ubiquitous User Recognition

We introduce Zensei, an implicit sensing system that leverages bio-sensing, signal processing, and machine learning to classify uninstrum...

Archived

Publication Research

Zensei: Embedded, Multi-electrode Bioimpedance Sensing for Implicit, Ubiquitous User Recognition

Munehiko Sato, Rohan S. Puri, Alex Olwal, Yosuke Ushigome, Lukas Franciszkiewicz, Deepak Chandra, Ivan Poupyrev, and Ramesh Raskar. 2017. Zensei: Embedded, Multi-electrode Bioimpedance Sensing for Implicit, Ubiquitous User Recognition. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). ACM, New York, NY, USA, 3972-3985.