Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Doryab, Afsaneh"'
Nutrients are critical to the functioning of the human body and their imbalance can result in detrimental health concerns. The majority of nutritional literature focuses on macronutrients, often ignoring the more critical nuances of micronutrient bal
Externí odkaz:
http://arxiv.org/abs/2408.11877
Autor:
Low, Carissa A, Li, Meng, Vega, Julio, Durica, Krina C, Ferreira, Denzil, Tam, Vernissia, Hogg, Melissa, Zeh III, Herbert, Doryab, Afsaneh, Dey, Anind K
Publikováno v:
JMIR Cancer, Vol 7, Iss 2, p e27975 (2021)
BackgroundCancer treatments can cause a variety of symptoms that impair quality of life and functioning but are frequently missed by clinicians. Smartphone and wearable sensors may capture behavioral and physiological changes indicative of symptom bu
Externí odkaz:
https://doaj.org/article/957b0cd434704996afc195a87a57a48a
Autor:
Doryab, Afsaneh, Villalba, Daniella K, Chikersal, Prerna, Dutcher, Janine M, Tumminia, Michael, Liu, Xinwen, Cohen, Sheldon, Creswell, Kasey, Mankoff, Jennifer, Creswell, John D, Dey, Anind K
Publikováno v:
JMIR mHealth and uHealth, Vol 7, Iss 7, p e13209 (2019)
BackgroundFeelings of loneliness are associated with poor physical and mental health. Detection of loneliness through passive sensing on personal devices can lead to the development of interventions aimed at decreasing rates of loneliness. Objective
Externí odkaz:
https://doaj.org/article/aba631e84780454b8fb6a6e217cd07c9
Autor:
Yan, Runze, Doryab, Afsaneh
Publikováno v:
Proceedings of SAI Intelligent Systems Conference (2021) 643-661
Modeling biological rhythms helps understand the complex principles behind the physical and psychological abnormalities of human bodies, to plan life schedules, and avoid persisting fatigue and mood and sleep alterations due to the desynchronization
Externí odkaz:
http://arxiv.org/abs/2109.06177
Autor:
Nikseresht, Fateme, Yan, Runze, Lew, Rachel, Liu, Yingzheng, Sebastian, Rose M., Doryab, Afsaneh
Despite the evolution of norms and regulations to mitigate the harm from biases, harmful discrimination linked to an individual's unconscious biases persists. Our goal is to better understand and detect the physiological and behavioral indicators of
Externí odkaz:
http://arxiv.org/abs/2102.01287
Autor:
Kim, Abigale, Nikseresht, Fateme, Dutcher, Janine M., Tumminia, Michael, Villalba, Daniella, Cohen, Sheldon, Creswel, Kasey, Creswell, David, Dey, Anind K., Mankoff, Jennifer, Doryab, Afsaneh
This study analyzes patterns of physical, mental, lifestyle, and personality factors in college students in different periods over the course of a semester and models their relationships with students' academic performance. The data analyzed was coll
Externí odkaz:
http://arxiv.org/abs/2102.04212
Activity recognition using built-in sensors in smart and wearable devices provides great opportunities to understand and detect human behavior in the wild and gives a more holistic view of individuals' health and well being. Numerous computational me
Externí odkaz:
http://arxiv.org/abs/2010.16052
We present a study to detect friendship, its strength, and its change from smartphone location data collectedamong members of a fraternity. We extract a rich set of co-location features and build classifiers that detectfriendships and close friendshi
Externí odkaz:
http://arxiv.org/abs/2008.02919
Autor:
Roth, Aaron M., Reig, Samantha, Bhatt, Umang, Shulgach, Jonathan, Amin, Tamara, Doryab, Afsaneh, Fang, Fei, Veloso, Manuela
Publikováno v:
Proceedings of the 28th IEEE International Conference on Robot Human Interactive Communication, New Delhi, India, October 2019
As robots are increasingly endowed with social and communicative capabilities, they will interact with humans in more settings, both collaborative and competitive. We explore human-robot relationships in the context of a competitive Stackelberg Secur
Externí odkaz:
http://arxiv.org/abs/1910.11459
The rich set of sensors in smartphones and wearable devices provides the possibility to passively collect streams of data in the wild. The raw data streams, however, can rarely be directly used in the modeling pipeline. We provide a generic framework
Externí odkaz:
http://arxiv.org/abs/1812.10394