Publications

2020

B. Li, A. Sano, "Extraction and Interpretation of Deep Autoencoder-based Temporal Features from Wearables for Forecasting Personalized Mood, Health, and Stress", Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, [ACM].

H. Yu, A, Sano, "Passive Sensor Data Based Future Mood, Health and Stress Prediction: User Adaption Using Deep Learning", International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction (EMBC), 2020, [PDF].

L.H. Victor, A. Sano, "Frequency-Dependent Light Stimulation Effects on Performance During Vigilance Tasks on a Laptop", International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction (EMBC), 2020, [PDF].

B. Li, A. Sano, "Early versus Late Modality Fusion of Deep Features from Wearable Sensors for Personalized Prediction of Feature Wellbing", International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction (EMBC), 2020, [PDF].

T. Umematsu, A. Sano, S. Taylor, M. Tsujikawa, R.W. Picard, "Forecasting Stress, Mood, and Health from Daytime Physiology in Office Workers and Students", International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction (EMBC), 2020, [PDF].

W Wang, S Mirjafari, G Harari, D Ben-Zeev, R Brian, T Choudhury, M Hauser, J Kane, K Masaba, S Nepal, A Sano, E Scherer, V Tseng, R Wang, H Wen, J Wu, A Campbell, "Social Sensing: Assessing Social Functioning of Patients Living with Schizophrenia using Mobile Phone Sensing", Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, [ACM]

A. Thieme, D. Belgrave, A. Sano, G. Doherty, "Machine learning applications: reflections on mental health assessment and ethics", Interactions 27 (2), 6-7 [ACM]

A. Sano, T. Rahman, M. Zhang, D. Ganesan, T. Choudhury. "MOBILE SENSING OF ALERTNESS, SLEEP, AND CIRCADIAN RHYTHM: Hardware & Software Platforms." GetMobile: Mobile Computing and Communications, 23(3), pp.16-22, 2020 [ACM]

2019

D. Fischer, A.W. McHill, A. Sano, R.W. Picard, L.K. Barger, C.A. Czeisler, E.B. Klerman, A.Jk Phillips, "Irregular sleep and event schedules are associated with poorer self-reported well-being in US college students", Sleep, 2019 [NCBI]

C. Wan, A. W. McHill, E. Klerman, A. Sano. "Sensor-based estimation of dim light melatonin onset (DLMO) using features of two time scales". arXiv preprint arXiv:1908.07483, 2019 [PDF]

V. W. Tseng, A. Sano, T. Choudhury, "Developing Clinically Interpretable Machine Learning Models to Predict Fine-Grained Symptom Trajectory of Schizophrenia and Identify Patients At Risk", The Frontier of AI-Assisted Care Scientific Symposium, 2019 September. [PDF]

B. Li, H. Yu, A. Sano, "Toward End-to-end Prediction of Future Wellbeing using Deep Sensor Representation Learning", International Conference on Affective Computing and Intelligent Interaction (ACII) workshop, Machine Learning for the Diagnosis and Treatment of Affective Disorders (ML4AD) , 2019 September. [PDF]

T. Umematsu, A. Sano, R. Picard, "Daytime Data and LSTM Can Forecast Tomorrow's Stress, Health, and Happiness", 2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), June. [PDF]

H. Yu, E. B. Klerman, R.Picard, A. Sano, "Personalized Wellbeing Prediction using Behavioral, Physiological and Weather Data", IEEE Biomedical and Health Informatics 2019, May. [PDF]

T. Umematsu, A. Sano, S. Taylor, R. Picard, " Improving Students' Daily Life Stress Forecasting using LSTM Neural Networks", IEEE Biomedical and Health Informatics 2019, May. [PDF] **Best Paper Award**

M. Fukuda, C. Wan, H. Yu, A. Sano, "Predicting Medical Professionals’ Wellbeing Using Wearable and SurveyData", Rice University TOMODACHI STEM Program 2019", [Poster]


2018

A.Sano*, W. Chen*, D. Lopez-Martinez, S. Taylor S, R.W. Picard, Multimodal Ambulatory Sleep Detection Using LSTM Recurrent Neural Networks, IEEE J Biomed Health Inform. Aug, 2018. [PDF]

A.Sano, S. Taylor, N.Jaques, W. Chen,W., D.Lopez-Martinez, E. Nosakhare,E., O.Rudovic, T.Umematsu, R. Picard, Mood, Stress and Sleep Sensing with Wearable Sensors and Mobile Phone, The 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), July 2018. [PDF]

T. Umematsu, A. Sano, S. Taylor, R. Picard, "Improving Stress Forecasting using LSTM Neural Networks." The 40th International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, Hawaii, July 2018 [PDF]

A. Sano, S. Taylor, A. W. McHill, A. J. K. Phillips, L. K. Barger, E. Klerman, and R. Picard, "Identifying objective physiological markers and modifiable behaviors for self-reported stress and mental health status using wearable sensor", Journal of Medical Internet Research, 2018 [PDF]

S. Taylor*, A.Sano*, C. Ferguson, A. Mohan R. Picard. QuantifyMe: An Open-Source Automated Single-Case Experimental Design Platform, Sensors 2018, 18(4), 1097 [PDF]

2017

S. Taylor, N. Jaques, E. Nosakhare, A. Sano, R. Picard, Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health, IEEE Transactions on Affective Computing, Dec, 2017. [PDF]

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

N. Jaques, O. Rudovic, S. Taylor, A. Sano, R. Picard, Predicting Tomorrow's Mood, Health, and Stress Level using Personalized Multitask Learning and Domain Adaptation, Proceedings of Machine Learning Research, 48, 17-33. August 2017. [PDF]

A.Phillips, W. Clerx, C. O'Brien, A. Sano, L. Barger, R. Picard, S. Lockley, E. Klerman, C. Czeisler, Irregular sleep associated with circadian delay and poorer academic performance, Scientific Reports 7, Article number: 3216, 2017. [PDF]

A. Sano, P. Johns, M. Czerwinski, Designing Just-in- time Stress Intervention Delivery using Multi-modal Data, International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017. [PDF]

N. Jaques, S. Taylor, A. Sano, R. Picard, Multimodal Autoencoder: A Deep Learning Approach to Filling In Missing Sensor Data and Enabling Better Mood Prediction, International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017. [PDF]

J. Hernandez, C. Ferguson, A. Sano, W. Chen, L. Weihui, A. Yeung and R. Picard, Stress Measurement from Tongue Color Imaging, International Conference on Affective Computing and Intelligent Interaction (ACII), San Antonio, Texas, October 2017. [PDF]

W. Chen*, A. Sano*, D. Lopez Martinez, S. Taylor, A. McHill, A. J. K. Phillips, L. Barger, E. B. Klerman, R. Picard, Multimodal Ambulatory Sleep Detection, the 2017 IEEE International Conference on Biomedical and Health Informatics of the IEEE Engineering in Medicine and Biology Society, February 2017. [PDF]

A Sano*, W Chen*, D Lopez, S Taylor, AW McHill, AJ Phillips, LK Barger, Multimodal ambulatory sleep detection using recurrent neural netoworks, Sleep 2017, June 2017. [PDF]

A Sano, AJ Phillips, AW McHill, S Taylor, LK Barger, CA Czeisler, EB Klerman, RW Picard, Influence of weekly sleep regularity on self-reported wellbeing, Sleep 2017, June 2017. [PDF]

AW McHill, LK Barger, A Sano, AJ Phillips, CA Czeisler, EB Klerman, Influence of sleep and circadian preference on exercise and subjective mood in college undergraduates, Sleep 2017, June 2017 [PDF]

S Taylor, N Jaques, E Nosakhare, A Sano, EB Klerman, RW Picard, Importance of sleep data in predicting next-day stress, happiness and health in college students, Sleep 2017, June 2017 [Poster]

AJ Phillips, AM McHill, D Chen, S Beckett, LK Barger, CS O’Brien, A Sano, Predicting the timing of dim light melatonin onset in real-world conditions using a mathematical model, Sleep 2017, June 2017 [PDF]

S Taylor, A Sano, RW Picard, Structure of electrodermal responses during sleep, Sleep2017, June 2017 [PDF]

2016

N. Jaques, S. Taylor, E. Nosakhare, A. Sano, R. W. Picard, Multi-task Learning for Predicting Health, Stress, and Happiness, NIPS 2016 Workshop on Machine Learning for Health, Barcelona, Spain, December 2016. [PDF] **Best Paper Award**

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

A. Sano, A. J. K. Phillips, S. Taylor, A. McHill, C. Hidalgo, C. O’Brien, J. Buie, L. Barger, C. A. Czeisler, E. B. Klerman, R. W Picard, Influence of Sleep Regularity on Self-Reported Mental Health and Wellbeing, Sleep2016, Denver, June 2016. [Poster]

S. Taylor, N. Jaques, A. Sano, A. Azaria, A. Ghandeharioun, R. Picard, Machine Learning of Sleep and Wake Behaviors to Classify Self-Reported Evening Mood, Sleep2016, Denver, June 2016. [Poster]

A. Sano, S. Taylor, R. Picard, Associations between mental health and academic performance, sleep behaviors, trait and daily behaviors in college students, Anxiety and Depression Conference, Philadelphia, April 2016. [Poster]

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

G. Mark, S. Iqbal, M. Czerwinski, P. Johns, A. Sano, Email Duration, Batching and Self-interruption: Patterns of Email Use on Productivity and Stress, Proceeding of the thirty-fourth annual SIGCHI conference on Human factors in computing systems (CHI’16), April 2016. [PDF]

G. Mark, S. Iqbal, M. Czerwinski, P. Johns, A. Sano, Neurotics Can't Focus: An in situ Study of Online Multitasking in the Workplace, Proceeding of the thirty-fourth annual SIGCHI conference on Human factors in computing systems (CHI’16), April 2016. [PDF]

2015

D. D. Luxton, J. D. June, A. Sano, T. Bickmore, Intelligent Mobile, Wearable, and Ambient Technologies for Behavioral Health Care, In D. D. Luxton, Artificial Intelligence in Behavioral and Mental Health Care, Oxford: Academic Press , 2015 , pp. 137 – 162. [Abstract]

N. Jaques, S. Taylor, A. Sano, R. W. Picard, Multi-task, Multi-Kernel Learning for Estimating Individual Wellbeing, NIPS Workshop on Multimodal Machine Learning, Montreal, Quebec, December 2015. [PDF]

A. Sano, P. Johns, M. Czerwinski, HealthAware: An Advice System for Stress, Sleep, Diet and Exercise, Affective Computing and Intelligent Interaction (ACII), Xi'an, China, September 2015. [PDF]

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

Y. Lutchyn, G. Mark, A. Sano, P. Johns, M. Czerwinski, S. Iqbal, Stress is in the Eye of the Beholder, Affective Computing and Intelligent Interaction (ACII), Xi'an, China, September 2015. [PDF]

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

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

S. Taylor, N. Jaques, W. Chen, S. Fedor, A. Sano, R. Picard, Automatic Identification of Artifacts in Electrodermal Activity Data, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Milan, Italy, August 2015. [PDF]

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

2014

A. Sano, R. W. Picard, R. Stickgold, Quantitative analysis of wrist electrodermal activity during sleep, International Journal of Psychophysiology, Vol.94, No.3, p.382-9, Dec, 2014. [PDF]

S. T, Huang, A. Sano, C. M. Y. Kwan, The Moment: a mobile tool for people with depression or bipolar disorder, International Conference on Ubiquitous Computing, Seattle, USA, September 2014. [PDF]

A. Sano, R. W. Picard, Comparison of Sleep-Wake Classification using Electroencephalogram and Wrist-worn Multi-modal Sensor Data, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, USA, August 2014. [PDF]

A. Sano, Got Sleep?: mobile phone application to improve sleep, CHI Workshop 2014, Biological Rhythms & Technology (the Computer and Human Interaction Conference (CHI)), Toronto, Canada April 2014. [PDF]

2013

A. Sano, R. W. Picard, Stress recognition using wearable sensors and mobile phones, The 5th biannual Humaine Association Conference on Affective Computing and Intelligent Interaction (ACII 2013), Geneva, Switzerland, September 2013. [PDF]

A. Sano, R. W. Picard, Recognition of Sleep Dependent Memory Consolidation with Multi-modal Sensor Data, The 10th Annual Body Sensor Networks Conference 2013, Cambridge, USA, May 2013. [PDF]

2012

A. Sano, J. Hernandez, J. Deprey, M. Eckhardt, R. W. Picard, M. Goodwin, Multimodal Annotation Tool for Challenging Behaviors in People with Autism Spectrum Disorders, Workshop on Ubiquitous Mobile Instrumentation at the International Conference on Ubiquitous Computing, Pittsburgh, PA, September 2012. [PDF]

A. Sano, R. W. Picard, R. Stickgold, Quantitative Analysis of Autonomic Sleep Patterns with Polysomnography, SLEEP 2012, Boston, USA, June 9-13, 2012. [PDF]

A. Sano, J. Hernandez, M. Goodwin, R. W. Picard, AMA, an application for Annotation, Monitoring, and Analysis of behavioral activity, in the Extended Abstract of IMFAR 2012, Toronto, Canada, May 17-19, 2012. [PDF]

2011

N. Sazuka, A. Sano, M. Sujino, K. Furukawa, M. Nagano, Y. Shigeyoshi, Quantitative estimation of resynchronization phase behaviour of central circadian rhythm through core body temperature, XII Congress of the EBRS 20-26, Oxford, UK, August, 2011.

A. Sano, R. W. Picard, H H. Wang, R. Stickgold, Autonomic Sleep Patterns in Visual Discrimination Task Improvement, SLEEP 2011 Meeting, June 11-15, Minneapolis, Minnesota, 2011. [Poster]

A. Sano, R. W. Picard, R. el Kaliouby, B. Malow, S. Goldman, Autonomic Sleep Patterns in Children with Autism Spectrum Disorders, International Meeting For Autism Research 2011 The 10th Anniversary Meeting, May 12-14, San Diego, California, 2011. [Poster]

A. Sano, R. W. Picard, Toward a Taxonomy of Autonomic Sleep Patterns with Electrodermal Activity, International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2011, Boston, USA, August 2011. [PDF]

2010

R. W. Picard, A. Sano, R. el. Kaliouby, Palmar vs. Forearm EDA during Natural Sleep at Home, 50th annual meeting of Society for Psychophysiological Research, Portland, Sep.29 - Oct.3, Oregon, USA, 2010. [PDF]

A. Sano, T. Tomita, H. Oba, Applications using Earphone with Biosignal Sensors, Human Interface Society Meeting, Vol.12, No.6, p.1-6, July, 2010. [PDF]

2009

A. Sano, H. Bakardjian, Movement-Related Cortical Evoked Potentials Using Four-Limb Imagery, International Journal of Neuroscience, Vol.119, No.5, p.639-663(25), May, 2009. [PDF]

2004

A. Sano, H. Bakardjian, A. Cichocki, Y. Tomita, Blind source separation based analysis of movement related cortical potentials. Proc. SICE 2004 Annual Conference (Society of Instrument and Control Engineers), Vol. 3, p.2399-2402, Sapporo, Japan, Aug 4-6, 2004.