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