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Computer Vision

Semantic Cluster5 Research Papers

Studies in this Category

ID: from-video-to-vital-signs-a-new-method-for-contactless-multichannel-seismocardiography2025

From video to vital signs: a new method for contactless multichannel seismocardiography

This study shows that smartphone videos can track heart vibrations using QR stickers on the chest, offering a low-cost way to monitor heart health and detect issues early, with accuracy comparable to clinical tools.

#scg#smartphone#accelerometer
ID: contactless-seismocardiography-via-gunnar-farneback-optical-flow2024

Contactless seismocardiography via Gunnar-Farneback optical flow

This research shows that smartphone videos can track heart vibrations as accurately as traditional sensors, offering a comfortable and contactless way to monitor heart health.

#scg#smartphone#contactless
ID: extracting-cardiovascular-induced-chest-vibrations-from-ordinary-chest-videos-a-comparative-study2024

Extracting Cardiovascular-Induced Chest Vibrations from Ordinary Chest Videos: A Comparative Study

This study shows that smartphone videos can accurately track heart vibrations using advanced computer vision methods, offering a comfortable and non-invasive way to monitor heart health.

#scg#smartphone#accelerometer
ID: non-contact-heart-vibration-measurement-using-computer-vision-based-seismocardiography2023

Non-contact heart vibration measurement using computer vision-based seismocardiography

This study shows that a smartphone camera can measure heart vibrations as accurately as traditional sensors, paving the way for affordable heart monitoring at home.

#scg#smartphone#accelerometer
ID: a-3d-model-of-the-thorax-for-seismocardiography2015

A 3D model of the thorax for seismocardiography

This study creates a 3D model of the chest to better understand heart vibrations, helping doctors use SCG for heart health monitoring.

#scg#computer-vision