PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection

Permanent URI for this collectionhttps://hdl.handle.net/20.500.11779/1928

Browse

Now showing 1 - 2 of 2

Citation - WoS: 3
Citation - Scopus: 3
Detecting Autism From Head Movements Using Kinesics
(Assoc Computing Machinery, 2024) Gokmen, Muhittin; Sariyanidi, Evangelos; Yankowitz, Lisa; Zampella, Casey J.; Schultz, Robert T.; Tunc, Birkan
Head movements play a crucial role in social interactions. The quantification of communicative movements such as nodding, shaking, orienting, and backchanneling is significant in behavioral and mental health research. However, automated localization of such head movements within videos remains challenging in computer vision due to their arbitrary start and end times, durations, and frequencies. In this work, we introduce a novel and efficient coding system for head movements, grounded in Birdwhistell's kinesics theory, to automatically identify basic head motion units such as nodding and shaking. Our approach first defines the smallest unit of head movement, termed kine, based on the anatomical constraints of the neck and head. We then quantify the location, magnitude, and duration of kines within each angular component of head movement. Through defining possible combinations of identified kines, we define a higher-level construct, kineme, which corresponds to basic head motion units such as nodding and shaking. We validate the proposed framework by predicting autism spectrum disorder (ASD) diagnosis from video recordings of interacting partners. We show that the multi-scale property of the proposed framework provides a significant advantage, as collapsing behavior across temporal scales reduces performance consistently. Finally, we incorporate another fundamental behavioral modality, namely speech, and show that distinguishing between speaking- and listening-time head movements significantly improves ASD classification performance.
Citation - WoS: 15
Citation - Scopus: 14
Hepatic Decompensation in Patients With Hiv/Hepatitis B Virus (hbv)/Hepatitis C Virus (hcv) Triple Infection Versus Hiv/Hcv Coinfection and the Effect of Anti-Hbv Nucleos(t)ide Therapy
(Oxford Univ Press Inc, 2014) Wang, Li; Devine, Scott; Lo Re, Vincent, III; Olufade, Temitope; Başer, Onur; Re, Vincent Lo
The incidence rate of hepatic decompensation was higher in patients with human immunodeficiency virus (HIV)/hepatitis B virus (HBV)/hepatitis C virus (HCV) triple infection than in those with HIV/HCV coinfection (24.1 vs 10.8 events per 1000 person-years; hazard ratio [HR], 1.89; 95% confidence interval [CI], 1.12–3.18). Compared with HIV/HCVinfected patients, the rate of decompensation was increased among HIV/HBV/HCV-infected patients receiving no anti-HBV therapy (HR, 2.48; 95% CI, 1.37–4.49) but not among those who did receive such therapy (HR, 1.09; 95% CI, .40–2.97)

Browse

Browsing PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection by Publication Category "Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı"