Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Athanasios Bamis"'
Autor:
Shweta Ware, Chaoqun Yue, Reynaldo Morillo, Chao Shang, Jinbo Bi, Jayesh Kamath, Alexander Russell, Dongjin Song, Athanasios Bamis, Bing Wang
Publikováno v:
Smart Health. 26:100356
Autor:
Chaoqun Yue, Athanasios Bamis, Jin Lu, Shweta Ware, Bing Wang, Reynaldo Morillo, Jinbo Bi, Alexander Russell, Jayesh Kamath, Chao Shang
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2:1-27
Depression is a serious public health problem. Current diagnosis techniques rely on physician-administered or patient self-administered interview tools, which are burdensome and suffer from recall bias. Recent studies have proposed new approaches tha
Autor:
Jin Lu, Reynaldo Morillo, Athanasios Bamis, Chaoqun Yue, Jinbo Bi, Shweta Ware, Bing Wang, Jayesh Kamath, Chao Shang, Alexander Russell
Publikováno v:
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies. 2:1-21
Depression is a common mood disorder that causes severe medical problems and interferes negatively with daily life. Identifying human behavior patterns that are predictive or indicative of depressive disorder is important. Clinical diagnosis of depre
Autor:
Chaoqun Yue, Chao Shang, Jinbo Bi, Jin Lu, Jayesh Kamath, Bing Wang, Athanasios Bamis, Shweta Ware, Reynaldo Morillo, Alexander Russell
Publikováno v:
Smart Health (Amst)
Depression is a serious mental health problem. Recently, researchers have proposed novel approaches that use sensing data collected passively on smartphones for automatic depression screening. While these studies have explored several types of sensin
Autor:
Alexander Russell, Chao Shang, Jayesh Kamath, Chaoqun Yue, Jinbo Bi, Shweta Ware, Reynaldo Morillo, Bing Wang, Jin Lu, Athanasios Bamis
Publikováno v:
Smart Health. 15:100093
Depression is a serious mental illness. The symptoms associated with depression are both behavioral (in appetite, energy level, sleep) and cognitive (in interests, mood, concentration). Currently, survey instruments are commonly used to keep track of
Autor:
Athanasios Bamis, Alexander Russell, Jayesh Kamath, Jinbo Bi, Shweta Ware, Chaoqun Yue, Bing Wang, Chao Shang, Jin Lu, Reynaldo Morillo
Publikováno v:
SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI
IEEE Trans Big Data
IEEE Trans Big Data
Recent studies have demonstrated that geographic location features collected using smartphones can be a powerful predictor for depression. While location information can be conveniently gathered by GPS, typical datasets suffer from significant period
Autor:
Shweta Ware, Reynaldo Morillo, Jinbo Bi, Jin Lu, Bing Wang, Chaoqun Yue, Asma Ahmad Farhan, Alexander Russell, Athanasios Bamis, Jayesh Kamath
Publikováno v:
Wireless Health
Depression is a serious health disorder. In this study, we investigate the feasibility of depression screening using sensor data collected from smartphones. We extract various behavioral features from smartphone sensing data and investigate the effic
Autor:
Athanasios Bamis, Ozgur Oksuz, Chaoqun Yue, Levon Nazaryan, Bing Wang, Luqiao Zhang, Aggelos Kiayias
Publikováno v:
WiMob
Wireless network traces have been widely used to understand human behaviors and provide value-added services. Sanitization based techniques have been shown to be severely lacking in protecting sensitive user information embedded in such traces. In th
Publikováno v:
CHASE
Depression is a major public health issue with directand significant effects on both physical and mental health. In thisstudy, we analyze smartphone sensing data to find differentialbehavioral features that are correlated with depression measuressuch
Publikováno v:
Personal and Ubiquitous Computing. 14:473-487
The in-house monitoring of elders using intelligent sensors is a very desirable service that has the potential of increasing autonomy and independence while minimizing the risks of living alone. Because of this promise, the efforts of building such s