![]() ![]() We validate our method on 10 adult subjects and provide proof of feasibility with infant subjects. Our method builds on capitalizing the advantages and understanding the limitations of cutting-edge computer vision and machine learning tools. Therefore, a fast and motion-resilient method is required for estimating the scalp location of probes.Īpproach: We propose an innovative video-based method for estimating the probes’ positions relative to the participant’s head, which is fast, motion-resilient, and automatic. Existing methods of head measurements require the participant to remain still for a lengthy period of time, are laborious, and require extensive training. Significance: We propose a video-based, motion-resilient, and fast method for estimating the position of optodes on the scalp.Īim: Measuring the exact placement of probes (e.g., electrodes and optodes) on a participant’s head is a notoriously difficult step in acquiring neuroimaging data from methods that rely on scalp recordings (e.g., electroencephalography and functional near-infrared spectroscopy) and is particularly difficult for any clinical or developmental population. ![]()
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