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Related papers: Heart Rate Detection Using an Event Camera

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Time event cameras are a novel technology for recording scene information at extremely low latency and with low power consumption. Event cameras output a stream of events that encapsulate pixel-level light intensity changes within the…

Computer Vision and Pattern Recognition · Computer Science 2025-06-25 Mohamed Moustafa , Joseph Lemley , Peter Corcoran

Extracting the instantaneous heart rate (iHR) from face videos has been well studied in recent years. It is well known that changes in skin color due to blood flow can be captured using conventional cameras. One of the main limitations of…

Computer Vision and Pattern Recognition · Computer Science 2019-02-15 Natalia Martinez , Martin Bertran , Guillermo Sapiro , Hau-Tieng Wu

With the increase in health consciousness, noninvasive body monitoring has aroused interest among researchers. As one of the most important pieces of physiological information, researchers have remotely estimated the heart rate (HR) from…

Computer Vision and Pattern Recognition · Computer Science 2022-12-29 Ying Qiu , Yang Liu , Juan Arteaga-Falconi , Haiwei Dong , Abdulmotaleb El Saddik

Objective: Non-contact physiological measurement is a growing research area that allows capturing vital signs such as heart rate (HR) and breathing rate (BR) comfortably and unobtrusively with remote devices. However, most of the approaches…

Computer Vision and Pattern Recognition · Computer Science 2018-11-21 Weixuan Chen , Javier Hernandez , Rosalind W. Picard

We present a method that leverages the complementarity of event cameras and standard cameras to track visual features with low-latency. Event cameras are novel sensors that output pixel-level brightness changes, called "events". They offer…

Computer Vision and Pattern Recognition · Computer Science 2019-01-21 Daniel Gehrig , Henri Rebecq , Guillermo Gallego , Davide Scaramuzza

In this paper, we presented the design and development of a new integrated device for measuring heart rate using fingertip to improve estimating the heart rate. As heart related diseases are increasing day by day, the need for an accurate…

Other Computer Science · Computer Science 2016-11-17 M. M. A. Hashem , Rushdi Shams , Md. Abdul Kader , Md. Abu Sayed

This paper proposes a novel method for human hands tracking using data from an event camera. The event camera detects changes in brightness, measuring motion, with low latency, no motion blur, low power consumption and high dynamic range.…

Computer Vision and Pattern Recognition · Computer Science 2023-04-14 Laura Duarte , Mohammad Safeea , Pedro Neto

In this work, we present optical space imaging using an unconventional yet promising class of imaging devices known as neuromorphic event-based sensors. These devices, which are modeled on the human retina, do not operate with frames, but…

Computer Vision and Pattern Recognition · Computer Science 2019-11-21 Saeed Afshar , Andrew P Nicholson , Andre van Schaik , Gregory Cohen

Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead of capturing images at a fixed rate, they asynchronously measure per-pixel brightness changes, and output a stream of events that encode the time,…

Neuromorphic, or event, cameras represent a transformation in the classical approach to visual sensing encodes detected instantaneous per-pixel illumination changes into an asynchronous stream of event packets. Their novelty compared to…

Computer Vision and Pattern Recognition · Computer Science 2025-04-14 Claudio Cimarelli , Jose Andres Millan-Romera , Holger Voos , Jose Luis Sanchez-Lopez

In recent years, research about monitoring vital signs by smartphones grows significantly. There are some special sensors like Electrocardiogram (ECG) and Photoplethysmographic (PPG) to detect heart rate (HR) and respiration rate (RR).…

Image and Video Processing · Electrical Eng. & Systems 2021-06-08 Jafar Pourbemany , Almabrok Essa , Ye Zhu

Today's diagnostics include devices such as pulse oximeters, blood pressure monitors, and temperature measurements. These devices provide vital information to medical personnel when making treatment decisions. Drawing inspiration from the…

Image and Video Processing · Electrical Eng. & Systems 2022-08-26 Akhil Kallepalli , David B James , Mark A Richardson

Heart rate (HR) is an essential clinical measure for the assessment of cardiorespiratory instability. Since communities of color are disproportionately affected by both COVID-19 and cardiovascular disease, there is a pressing need to deploy…

Image and Video Processing · Electrical Eng. & Systems 2020-12-10 Pradyumna Chari , Krish Kabra , Doruk Karinca , Soumyarup Lahiri , Diplav Srivastava , Kimaya Kulkarni , Tianyuan Chen , Maxime Cannesson , Laleh Jalilian , Achuta Kadambi

Neuromorphic sensors, also known as event cameras, are a class of imaging devices mimicking the function of biological visual systems. Unlike traditional frame-based cameras, which capture fixed images at discrete intervals, neuromorphic…

Computer Vision and Pattern Recognition · Computer Science 2024-04-23 Federico Becattini , Lorenzo Berlincioni , Luca Cultrera , Alberto Del Bimbo

Understanding human movement and city dynamics has always been challenging. From traditional methods of manually observing the city's inhabitant, to using cameras, to now using sensors and more complex technology, the field of urban…

Computer Vision and Pattern Recognition · Computer Science 2025-12-15 Jack Brady , Andrew Dailey , Kristen Schang , Zo Vic Shong

Event cameras are innovative neuromorphic sensors that asynchronously capture the scene dynamics. Due to the event-triggering mechanism, such cameras record event streams with much shorter response latency and higher intensity sensitivity…

Computer Vision and Pattern Recognition · Computer Science 2024-09-26 Yunhao Zou , Ying Fu , Tsuyoshi Takatani , Yinqiang Zheng

Heart rate is an important physiological indicator of human health status. Existing remote heart rate measurement methods typically involve facial detection followed by signal extraction from the region of interest (ROI). These SOTA methods…

Computer Vision and Pattern Recognition · Computer Science 2024-04-12 Jie Wang , Jing Lian , Minjie Ma , Junqiang Lei , Chunbiao Li , Bin Li , Jizhao Liu

Continuous cardiovascular monitoring is essential for managing circulatory health and disease, yet most wearable sensors are constrained by reliance on electrical transduction and built-in electronics. We present a circuit-free, wholly…

In this demo paper, we design and prototype RhythmEdge, a low-cost, deep-learning-based contact-less system for regular HR monitoring applications. RhythmEdge benefits over existing approaches by facilitating contact-less nature,…

Machine Learning · Computer Science 2022-08-16 Zahid Hasan , Emon Dey , Sreenivasan Ramasamy Ramamurthy , Nirmalya Roy , Archan Misra

Smartwatches have become popular for monitoring physiological parameters outside clinical settings. Using reflective photoplethysmography (PPG) sensors, such watches can non-invasively estimate heart rate (HR) in everyday environments and…

Signal Processing · Electrical Eng. & Systems 2024-12-24 Manuel Meier , Christian Holz
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