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

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

Archived

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.