Zobrazeno 1 - 10
of 480
pro vyhledávání: '"W. Picard"'
Publikováno v:
Scientific Data, Vol 10, Iss 1, Pp 1-9 (2023)
Abstract Nonverbal vocalizations, such as sighs, grunts, and yells, are informative expressions within typical verbal speech. Likewise, individuals who produce 0–10 spoken words or word approximations (“minimally speaking” individuals) convey r
Externí odkaz:
https://doaj.org/article/5bfef00b2d7346e29b55dde16ffd904e
Publikováno v:
Journal of Composites Science, Vol 8, Iss 2, p 65 (2024)
This study explores cost-effective and customized composite applications by strategically placing carbon fiber-reinforced thermoplastics in multi-material designs. The focus is on developing a model for the simultaneous processing of non-reinforced a
Externí odkaz:
https://doaj.org/article/eca27bab06e0412fa948f2124825e75e
Autor:
Matthew K. Nock, Evan M. Kleiman, Melissa Abraham, Kate H. Bentley, David A. Brent, Ralph J. Buonopane, Franckie Castro‐Ramirez, Christine B. Cha, Walter Dempsey, John Draper, Catherine R. Glenn, Jill Harkavy‐Friedman, Michael R. Hollander, Jeffrey C. Huffman, Hye In S. Lee, Alexander J. Millner, David Mou, Jukka‐Pekka Onnela, Rosalind W. Picard, Heather M. Quay, Osiris Rankin, Shannon Sewards, John Torous, Joan Wheelis, Ursula Whiteside, Galia Siegel, Anna E. Ordóñez, Jane L. Pearson
Publikováno v:
Psychiatric Research and Clinical Practice, Vol 3, Iss 2, Pp 57-66 (2021)
Objective Digital monitoring technologies (e.g., smartphones and wearable devices) provide unprecedented opportunities to study potentially harmful behaviors such as suicide, violence, and alcohol/substance use in real‐time. The use of these new te
Externí odkaz:
https://doaj.org/article/bd442ccf10064aa1ac88682a2d0dfcff
Autor:
Paola Pedrelli, Szymon Fedor, Asma Ghandeharioun, Esther Howe, Dawn F. Ionescu, Darian Bhathena, Lauren B. Fisher, Cristina Cusin, Maren Nyer, Albert Yeung, Lisa Sangermano, David Mischoulon, Johnathan E. Alpert, Rosalind W. Picard
Publikováno v:
Frontiers in Psychiatry, Vol 11 (2020)
Background: While preliminary evidence suggests that sensors may be employed to detect presence of low mood it is still unclear whether they can be leveraged for measuring depression symptom severity. This study evaluates the feasibility and performa
Externí odkaz:
https://doaj.org/article/64f1c60c7d2e4769a70040d5e4069798
Publikováno v:
IEEE Transactions on Affective Computing. 13:2238-2253
Autor:
Andrew J. K. Phillips, William M. Clerx, Conor S. O’Brien, Akane Sano, Laura K. Barger, Rosalind W. Picard, Steven W. Lockley, Elizabeth B. Klerman, Charles A. Czeisler
Publikováno v:
Scientific Reports, Vol 7, Iss 1, Pp 1-13 (2017)
Abstract The association of irregular sleep schedules with circadian timing and academic performance has not been systematically examined. We studied 61 undergraduates for 30 days using sleep diaries, and quantified sleep regularity using a novel met
Externí odkaz:
https://doaj.org/article/98978c03a4da4abb894c69dbfb834eb9
Autor:
Sooyeon Jeong, Laura Aymerich-Franch, Sharifa Alghowinem, Rosalind W. Picard, Cynthia L. Breazeal, Hae Won Park
Publikováno v:
Proceedings of the 2023 ACM/IEEE International Conference on Human-Robot Interaction.
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 6:1-36
To assist people in practicing mindful breathing and regulate their perceived workload while not disturbing the ongoing foreground task during daily routines, we developed a mobile and personalizable pneumatic-haptic feedback device that provides pro
Autor:
Joshua E, Curtiss, David, Mischoulon, Lauren B, Fisher, Cristina, Cusin, Szymon, Fedor, Rosalind W, Picard, Paola, Pedrelli
Publikováno v:
Psychological Medicine. :1-9
Background Predicting future states of psychopathology such as depressive episodes has been a hallmark initiative in mental health research. Dynamical systems theory has proposed that rises in certain ‘early warning signals’ (EWSs) in time-series
Publikováno v:
EAI Endorsed Transactions on Pervasive Health and Technology, Vol 1, Iss 1, Pp 1-10 (2015)
This work explores the feasibility of using motion-sensitive sensors embedded in Google Glass, a head-mounted wearable device, to robustly measure physiological signals of the wearer. In particular, we develop new methods to use Glass’s acceleromet
Externí odkaz:
https://doaj.org/article/9bd7f13cdf774dd2ba904edbcf4855e9