Sano, Akane
Rice University
14 papers on CoChatORCID 0000-0003-4484-8946
Most cited papers
- Verified
Irregular sleep/wake patterns are associated with poorer academic performance and delayed circadian and sleep/wake timing
Phillips, A. J. K., Clerx, W. M., O’Brien, C. S., Sano, A., Barger, L. K., Picard, R. W., Lockley, S. W., Klerman, E. B., & Czeisler, C. A. (2017) · Scientific Reports
Circadian rhythm and melatoninSleep and related disorders
Cited by 647
- Verified
Stress Recognition Using Wearable Sensors and Mobile Phones
Sano, A., & Picard, R. W. (2013) · 2013 Humaine Association Conference on Affective Computing and Intelligent Interaction
Emotion and Mood RecognitionContext-Aware Activity Recognition Systems
Cited by 523
- Verified
Identifying Objective Physiological Markers and Modifiable Behaviors for Self-Reported Stress and Mental Health Status Using Wearable Sensors and Mobile Phones: Observational Study
Sano, A., Taylor, S., McHill, A. W., Phillips, A. J., Barger, L. K., Klerman, E., & Picard, R. (2018) · Journal of Medical Internet Research
Emotion and Mood RecognitionDigital Mental Health Interventions
Cited by 333
- Verified
Automatic identification of artifacts in electrodermal activity data
Taylor, S., Jaques, N., Chen, W., Fedor, S., Sano, A., & Picard, R. (2015) · 2015 37th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
Emotion and Mood RecognitionHeart Rate Variability and Autonomic Control
Cited by 279
- Verified
Personalized Multitask Learning for Predicting Tomorrow's Mood, Stress, and Health
Taylor, S., Jaques, N., Nosakhare, E., Sano, A., & Picard, R. (2020) · IEEE Transactions on Affective Computing
Emotion and Mood RecognitionContext-Aware Activity Recognition Systems
Cited by 251
- Verified
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. (2015) · 2015 IEEE 12th International Conference on Wearable and Implantable Body Sensor Networks (BSN)
Context-Aware Activity Recognition SystemsOnline Learning and Analytics
Cited by 236
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Email Duration, Batching and Self-interruption: Patterns of Email Use on Productivity and Stress
Mark, G., Iqbal, S. T., Czerwinski, M., Johns, P., Sano, A., & Lutchyn, Y. (2016) · Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems
Personal Information Management and User BehaviorTechnostress in Professional Settings
Cited by 160
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Quantitative analysis of wrist electrodermal activity during sleep
Sano, A., Picard, R. W., & Stickgold, R. (2014) · International Journal of Psychophysiology
Heart Rate Variability and Autonomic ControlSleep and related disorders
Cited by 141
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Using behavioral rhythms and multi-task learning to predict fine-grained symptoms of schizophrenia
Tseng, V. W.-S., Sano, A., Ben-Zeev, D., Brian, R., Campbell, A. T., Hauser, M., Kane, J. M., Scherer, E. A., Wang, R., Wang, W., et al. (2020) · Scientific Reports
Mental Health Research TopicsDigital Mental Health Interventions
Cited by 44
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Comparison of sleep-wake classification using electroencephalogram and wrist-worn multi-modal sensor data
Sano, A., & Picard, R. W. (2014) · 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Context-Aware Activity Recognition SystemsEEG and Brain-Computer Interfaces
Cited by 25
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0182 INFLUENCE OF WEEKLY SLEEP REGULARITY ON SELF-REPORTED WELLBEING
Sano, A., Phillips, A., McHill, A., Taylor, S., Barger, L., Czeisler, C., & Picard, R. (2017) · Sleep
Sleep and related disordersSleep and Work-Related Fatigue
Cited by 24
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Effect of an Internet–Delivered Cognitive Behavioral Therapy–Based Sleep Improvement App for Shift Workers at High Risk of Sleep Disorder: Single-Arm, Nonrandomized Trial
Ito-Masui, A., Sakamoto, R., Matsuo, E., Kawamoto, E., Motomura, E., Tanii, H., Yu, H., Sano, A., Imai, H., & Shimaoka, M. (2023) · Journal of Medical Internet Research
Sleep and related disordersSleep and Work-Related Fatigue
Cited by 20
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The moment: a mobile tool for people with depression or bipolar disorder
Huang, S. T.-Y., Sano, A., & Kwan, C. M. Y. (2014) · Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication
Digital Mental Health InterventionsMobile Health and mHealth Applications
Cited by 13
- Verified
Recognition of sleep dependent memory consolidation with multi-modal sensor data
Sano, A., & Picard, R. W. (2013) · 2013 IEEE International Conference on Body Sensor Networks
Sleep and Wakefulness ResearchEEG and Brain-Computer Interfaces
Cited by 12
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