Eunhwa Jeong

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We present an effective algorithm for automatic tracing of vasculature structures and vascular landmark extraction of bifurcations and ending points. In this paper we deal with vascular patterns from digital images for personal identification. Vessel tracing algorithms are of interest in a variety of biometric and medical application such as personal(More)
Advances in the field of the Internet of Things (IoT) have made it possible for everyday objects to attain agency. However, it is unclear how laypersons perceive the increasingly active artifacts. These perceptions are likely to foreground their future responses to IoT objects as they become relevant actors in the physical world and begin to influence(More)
Robots are increasingly being deployed in a number of domains typically associated with female workers, e.g., caregiving. Although past robot morphology has favored a machine-like appearance that is often perceived as masculine, monitor-based robots provide designers with enhanced opportunities to include interface cues that convey femininity. However, it(More)
OBJECTIVE To evaluate the reliability and validity of Korean version of AST (K-AST) as a bedside screening test of apraxia in patients with stroke for early and reliable detection. METHODS AST was translated into Korean, and the translated version received authorization from the author of AST. The performances of K-AST in 26 patients (21 males, 5 females;(More)
OBJECTIVE To determine the supratentorial area associated with poststroke dysphagia, we assessed the diffusion tensor images (DTI) in subacute stroke patients with supratentorial lesions. METHODS We included 31 patients with a first episode of infarction in the middle cerebral artery territory. Each subject underwent brain DTI as well as a(More)