Browsing by Subject "Head tracking"

Now showing 1 - 2 of 2
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    Computer vision applications of head motion and cell analysis
    (2013-05) Hashemi, Jordan K.
    Computer vision approaches have been applied to a wide variety of domains. These approaches are able to replicate human processes as well as provide new insights. Once developed, computer vision approaches also permit high throughput analysis of processes that would otherwise be tedious. In this thesis, we focus on developing tools that replicate and go above human analysis for two applications. We aim at developing tools to track infants` head motions in a non-intrusive manner during an autism assessment. We propose a method to track facial features from a single camera and use their changing locations to sequentially update the motions. We also aim at developing an elliptical-cell and multiple-fluorescence segmentation program to allow for the high throughput analysis of C.albicans and S.cerevisiae yeast cultures. We propose to segment pseudohyphal cells based on an extension of the circular Hough transform; as well as, segment multiple types of fluorescence labeling.
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    Data from: Head and eye movements of normal hearing and hearing impaired participants during three-party conversations
    (2021-03-04) Lu, Hao; McKinney, Martin F; Zhang, Tao; Oxenham, Andrew J; luxx0489@umn.edu; Lu, Hao; University of Minnesota Auditory Perception and Cognition Laboratory
    The data includes head movement, eye gaze movement and speech segment recorded from 10 young normal-hearing listeners, 10 older normal-hearing listeners and 10 older hearing-impaired listeners during a 3-party group conversation. Each conversation lasts about 25 minutes while different level of background noise were played including no noise, 50 dB, 60 dB and 70 dB SPL noise. The data was released as the supplemental material of the paper [insert paper info] and other researchers working on gaze-guided hearing aids can test their model on it.