Article Research

RFID stickers could signal contaminated food

MIT researchers have found a way to check many items instantly, non-invasively, and from a distance—using the RFID tags.
Research
Conformable Decoders

Converting the patterns of nature and the human body into beneficial signals and energy
Project Research

RFIQ: Food quality and safety detection using wireless stickers

​We have developed a wireless system that leverages the inexpensive RFID tags already on hundreds of billions of products to sense potent...
Research
City Science

Looking beyond smart cities
Research
Affective Computing

Advancing wellbeing by using new ways to communicate, understand, and respond to emotion
Research
Responsive Environments

Augmenting and mediating human experience, interaction, and perception with sensor networks
Research
Biomechatronics

Enhancing human physical capability
Project Research

LeakyPhones

LeakyPhones is a public/private headset that was designed to encourage face-to-face interactions, curiosity, and healthier ...
Research
Signal Kinetics

Extending human and computer abilities in sensing, communication, and actuation through signals and networks
Research
Open Ocean

Open Ocean
Project Research

PAL

PAL (Personalized Active Learner) is a wearable system with on-device machine learning to help users with real-time, perso...
Project Research

PlusMinus

Ride-sharing, social media, artificial intelligence. These are examples of socially-beneficial, net-positive technologies that have shown...
Research
Scalable Cooperation

Reimagining human cooperation in the age of social media and artificial intelligence
Research
Fluid Interfaces

Designing wearable systems for cognitive enhancement and personal development
Research
Open Agriculture (OpenAg)

Open Agriculture Initiative (OpenAg)
Research
Human Dynamics

Exploring how social networks can influence our lives in business, health, governance, and technology adoption and diffusion
Project Research

Dormio: Interfacing with dreams for creativity

Sleep is a forgotten country of the mind. A vast majority of our technologies are built for our waking state, even though a third of our ...
Article Research

My Deep Sea, My Backyard: Empowering nations to study the deep

The deep sea is the common heritage of all of humankind and we must all share in the responsibility to be good stewards of it.
Research
Advancing Wellbeing

Advancing Wellbeing
Publication Research

BioEssence: A Wearable Olfactory Display that Monitors Cardio-Respiratory Information to Support Mental Wellbeing

Amores, J., Hernandez, J., Dementyev, A., Wang, X., Maes, P. "BioEssence: A Wearable Olfactory Display that Monitors Cardio-respiratory Information to Support Mental Wellbeing," Proceedings of the International Conference of IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, Hawaii, July 2018
Project Research

BioEssence

A wearable olfactory display that monitors cardio-respiratory information to support mental wellbeing.BioEssence is a novel wearable olfa...
Article Research

Putting food-safety detection in the hands of consumers

Simple, scalable wireless system uses the RFID tags on billions of products to sense contamination.
Article Research

Byte-sized: how tech is revolutionizing food production

"Food computers" can tell us everything we need to know about what we grow and eat.
Article Research

As global temperatures rise, so will mental health issues, study says

Small rises in temperature and dramatic weather events resulting from warming can affect mental health.
Project Research

Personal Food Computer

The OpenAg™ Personal Food Computer is a tabletop-sized, controlled environment agriculture technology platform that uses robotic systems ...
Project Research

Physio FreeFall

This project seeks to examine the effects of altered gravity on an individual’s physiology during parabolic flight. Specifically, we will...
Archived
Project Research

Masque

 When the body senses itself internally and localizes its actions, it provides the basis for a material sense of self-existence. At ...
Archived
Project Research

SkinBot: A Wearable, Skin-Climbing Robot

We introduce SkinBot: a lightweight robot that moves over the skin's surface with a two-legged suction-based locomotion mechanism and cap...
Project Research

Thinking Cap

The Thinking Cap provides help to students in need: the cap looks into the wearer’s head and detects his or her capabilities or cognitive...
Publication Research

Epidermal Robots: Wearable Sensors that Climb on The Skin

Dementyev A., Hernandez J., Choi I., Follmer S., Paradiso J., "Epidermal Robots: Wearable Sensors That Climb On The Skin" In Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 2 (3), September 2018.
Publication Research

Empirical evidence of mental health risks posed by climate change

Obradovich, N., Migliorini, R., Paulus, M. P., & Rahwan, I. (2018). Empirical evidence of mental health risks posed by climate change. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.1801528115
Project Research

AttentivU

AttentivU helps you to stay attentive and engaged with your current task. It provides haptic feedback when it detects that you have a low...
Publication Research

SkinBot: A Wearable Skin Climbing Robot

A. Dementyev, J. Hernandez, S. Follmer, I. Choi, and J. Paradiso. "SkinBot: A Wearable Skin Climbing Robot." ACM User Interface Software and Technology Symposium, October 2017.
Project Research

Agonist-antagonist Myoneural Interface (AMI)

Humans can accurately sense the position, speed, and torque of their limbs, even with their eyes shut. This sense, known as proprioceptio...
Project Research

Identifying the Human Impacts of Climate Change

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...
Publication Research

Vomit Comet Physiology: Autonomic Changes in Novice Flyers

Johnson, K.T., Taylor, S., Fedor, S., Jaques, N., Chen, W., Picard, R.W. "Vomit Comet Physiology: Autonomic Changes in Novice Flyers." Proceedings of the International Conference of IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, Hawaii, July 2018.
Project Research

HeartBit

HeartBit is an interface designed for haptic heart rate biofeedback. A handheld heart beats alongside your own, mirroring the size, weigh...
Project Research

Essence

The sense of smell is perhaps the most pervasive of all senses, but it is also one of the least understood and least exploited in HCI. We...
Project Research

Make the Breast Pump Not Suck Hackathon 2018

A Case for Breastfeeding InnovationBreastfeeding saves lives.  If women globally were able to meet the WHO's public health goal to e...
Project Research

SNAPSHOT Study

The SNAPSHOT study seeks to measure Sleep, Networks, Affect, Performance, Stress, and Health using Objective Techniques. It is an NIH-fun...
Article Research

How your phone can keep you from getting depressed

The same device that is driving you crazy could hold the keys to solving our mental health crisis.
Project Research

Emotion/wellbeing x skincare cosmetics

The project aims to investigate the relationships between emotion, wellbeing, skin, and skincare cosmetics. In our first study, we m...
Project Research

QuantifyMe

Unlike traditional randomized controlled trials that generalize relationships in large groups of people, single-case experiments seek to ...
Project Research

Behavioral Indications of Depression Severity

In collaboration with Massachusetts General Hospital, we are conducting a clinical trial exploring objective methods for assessing depres...
Publication Research

Importance of Sleep Data in Predicting Next-Day Stress, Happiness, and Health in College Students

Taylor, S., Jaques, N., Nosakhare, E., Sano, A., Klerman, E., and Picard, R. "Importance of Sleep Data in Predicting Next-Day Stress, Happiness, and Health in College Students," Sleep2017, June 2017.
Publication Research

QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform

Taylor, S.*, Sano, A.*, Ferguson, C., Mohan, A., Picard, R. "QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform," Sensors, April 2018. (*equal contribution)
Project Research

SNAPSHOT Expose

We are applying learnings from the SNAPSHOT study to the problem of changing behavior, exploring the design of user-centered tools which ...
Archived
Publication Research

QuantifyMe: An Automated Single-Case Experimental Design Platform

Sano, A.*, Taylor, S.*, Ferguson, C., Mohan A., Picard, R. "QuantifyMe: An Automated Single-Case Experimental Design Platform," In Proc. International Conference on Wireless Mobile Communication and Healthcare (MobiHealth), Vienna, Austria, November 2017. (*equal contribution)
Publication Research

Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health

Taylor, S.*, Jaques, N.*, Nosakhare, E., Sano, A. and Picard, R., "Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health," in IEEE Transactions on Affective Computing, vol. PP, no. 99, pp. 1-1. doi: 10.1109/TAFFC.2017.2784832 *Both authors contributed equally.
Archived
Project Research

RePose

Sleep is perhaps the most critical human activity for well-being, but seldom receives the priority it deserves. We get less rest than we ...
Archived
Publication Research

Predicting the timing of Dim Light Melatonin Onset in Real-world Conditions using a Mathematical Model

Phillips AJ, McHill AM, Chen D, Beckett S, Barger LK, O’Brien CS, Sano A, Taylor S, Lockley SW, Czeisler CA, Klerman E.B. "Predicting the timing of Dim Light Melatonin Onset in Real-world Conditions using a Mathematical Model," Sleep2017, June 2017.
Publication Research

Location Patterns from Phone Sensors May Help Predict Depressive Symptoms: A Longitudinal Pilot Study

Howe, E., Ghandeharioun, A., Pedrelli, P., Mischoulon, D., Picard, R., Fedor, S. "Location Patterns from Phone Sensors May Help Predict Depressive Symptoms: A Longitudinal Pilot Study," Association for Behavioral and Cognitive Therapies Annual Convention – Tech SIG, San Diego, CA, November 2017.
Publication Research

Multimodal Ambulatory Sleep Detection Using Recurrent Neural Networks

Chen, W.*, Sano, A.*, Lopez, D., Taylor, S., McHlll, A. W., Phillips, A. J., Barger, L.K., Czeisler, C. A., Picard, R. W. "Multimodal Ambulatory Sleep Detection Using Recurrent Neural Networks," Sleep 2017 (oral), June 2017.
Publication Research

Multimodal Ambulatory Sleep Detection

Chen, W.*, Sano, A.*, Lopez, D., Taylor, S., McHill, A. W., Phillips, A. J. K., Barger, L. K., Klerman, E. B., and Picard, R. W., "Multimodal Ambulatory Sleep Detection," In Proc. IEEE International Conference on Biomedical and Health Informatics (BHI), Orlando, Florida, pp. 465-468, 2017. (*equal contribution)
Publication Research

Findings from Modeling Peaks in Electrodermal Activity during Sleep as a Point Process

Taylor, S., Sano, A., and Picard, R. W. "Findings from Modeling Peaks in Electrodermal Activity during Sleep as a Point Process" 56th Annual Meeting of the Society for Psychophysiological Research, Minnesota, USA, September 2016.
Thesis Research

Characterizing Electrodermal Responses during Sleep in a 30-day Ambulatory Study

Taylor, S. "Characterizing Electrodermal Responses during Sleep in a 30-day Ambulatory Study", MIT Master's Thesis, September 2016.
Publication Research

Recognizing Academic Performance Sleep Quality Stress Level and Mental Health using Personality Traits Wearable Sensors and Mobile Phones

Sano, A., Phillips, A.J., Yu A.Z., McHill, A.W., Taylor, S., Jaques, N., Czeisler, C,A., Klerman, E.B., Picard. R.W., "Recognizing Academic Performance, Sleep Quality, Stress Level, and Mental Health using Personality Traits, Wearable Sensors and Mobile Phones," In the proceedings of Body Sensor Networks, Cambridge, USA, June 2015.
Publication Research

Wavelet-Based Motion Artifact Removal for Electrodermal Activity

Chen, W., Jaques, N., Taylor, S., Sano, A., Fedor, S., and Picard, R. "Wavelet-Based Motion Artifact Removal for Electrodermal Activity" In Proc. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, August 2015.
Publication Research

Prediction of Happy-Sad Mood from Daily Behaviors and Previous Sleep History

Sano, A., Yu A.Z., McHill, A.W., Phillips, A.J., Taylor, S., Jaques, N., Czeisler, C,A., Klerman, E.B., Picard. R.W. "Prediction of Happy-Sad Mood from Daily Behaviors and Previous Sleep History" In Proc. International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, August 2015
Publication Research

Predicting students' happiness from physiology phone mobility and behavioral data

Jaques, N., Taylor, S., Azaria, A., Ghandeharioun, A., Sano, A., and Picard, R. "Predicting students' happiness from physiology, phone, mobility, and behavioral data" In Proc. Affective Computing and Intelligent Interaction (ACII), Xi'an, China, September 2015.
Publication Research

Associations between mental health and academic performance sleep behaviors trait and daily behaviors in college students

Sano. A., Taylor, S., and Picard, R., "Associations between mental health and academic performance, sleep behaviors, trait and daily behaviors in college students," Anxiety and Depression Conference, April 2016
Publication Research

SNAPSHOT Expose: Stage Based and Social Theory Based Applications to Reduce Stress and Improve Wellbeing

Zisook, M., Taylor S., Sano. A., and Picard R. W., "SNAPSHOT Expose: Stage Based and Social Theory Based Applications to Reduce Stress and Improve Wellbeing," CHI 2016 Computing and Mental Health Workshop. May 2016.
Publication Research

Structure of Electrodermal Responses during Sleep

Taylor, S., Sano, A., and Picard, R. "Structure of Electrodermal Responses during Sleep," Sleep2017, June 2017.
Publication Research

Influence of Weekly Sleep Regularity on Self-Reported Wellbeing

Sano A, Phillips AJ, McHill AW, Taylor S, Barger LK, Czeisler CA, Picard RW. "Influence of Weekly Sleep Regularity on Self-Reported Wellbeing," Sleep2017, June 2017.
Publication Research

Integrating EMA, clinical assessment and wearable sensors to examine the association between MDD and alcohol use

Pedrelli, P., Howe, E., Mischoulon, D., Picard, R., Ghandeharioun, A., Fedor, S."Integrating EMA, clinical assessment and wearable sensors to examine the association between MDD and alcohol use," Connected Health Conference, Boston, MA, October 2017.
Publication Research

Objective assessment of depressive symptoms with machine learning and wearable sensors data

Ghandeharioun, A., Fedor, S., Sangermano, L., Ionescu, D., Alpert, J., Dale, C., Sontag, D., Picard, R. "Objective assessment of depressive symptoms with machine learning and wearable sensors data," International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017.
Publication Research

BrightBeat: Effortlessly Influencing Breathing for Cultivating Calmness and Focus

Ghandeharioun, A., Picard, R."BrightBeat: Effortlessly Influencing Breathing for Cultivating Calmness and Focus," Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems. ACM, Denver, May 2017.
Thesis Research

BrightBeat: Effortlessly Influencing Breathing for Cultivating Calmness and Focus

Ghandeharioun, A. "BrightBeat: Effortlessly Influencing Breathing for Cultivating Calmness and Focus", MIT Master's Thesis, September 2016.
Publication Research

Objective vs. Subjective Reports of Sleep Quality in Major Depressive Disorder: A Pilot Study

Ghandeharioun, A., Sangermano, L., Picard, R., Alpert, J., Dale, C., Ionescu, D., Fedor, S. "Objective vs. Subjective Reports of Sleep Quality in Major Depressive Disorder: A Pilot Study," Anxiety and Depression Conference (ADAA), San Fransisco, April 2017.
Publication Research

Location Variability from Commodity Phone Sensors Is Negatively Associated with Self-Reported Depression Score: A Pilot Study

Ghandeharioun, A., Fedor, S., Sangermano, L., Alpert, J., Dale, C., Ionescu, D., Picard, R. "Location Variability from Commodity Phone Sensors Is Negatively Associated with Self-Reported Depression Score: A Pilot Study," Association for Psychological Science (APS) annual convention, Boston, May 2017.