Real Time Tracking of Heart Rate from Facial Video Using Webcam

Oviyaa, M.; Renvitha, P.; Swathika, R.

doi:10.1109/icirca48905.2020.9183124

Cited by 8 publications

(4 citation statements)

References 13 publications

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“…In this regard, neuroimaging and neurophysiologic data from functional magnetic resonance imaging, electroencephalography, magnetoencephalography and electrocorticography for assessing brain networks during unconscious and conscious decision making with various connectivity measures, graph theory, and methods that reveal dynamics might lead to further valuable insights (Mashour & Hudetz, 2018). However, this is a cost-intensive option, and a more practical approach could involve analysing people's faces during decision making, because heart rate variability is an intuition receptor (Sinclair, 2020) that can be tracked via the latest remote tools (Alam et al, 2020;Oviyaa, Renvitha, & Swathika, 2020;Qiao, Zulkernine, Masroor, Rasool, & Jaffar, 2021;van der Kooij & Naber, 2019) using evidence accumulator models, as in previous work (e.g., Brunton, Botvinick, & Brody, 2013;Lufityanto et al, 2016). Such analysis could enrich our insights around how intuition unfolds, especially when making uncertain, complex, and risky decisions in organizations.…”

Section: Discussionmentioning

confidence: 99%

How to Measure and Enhance Knowing Without Knowing? A Systematic Bibliometric Mapping and Visualization of Relationships between Rational and Intuitive Decision-Making Styles To Explore Training Methods

Fellnhofer¹

2022

Preprint

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In this work, we investigate rational and intuitive decision-making styles via a literature review by taking advantage of advanced bibliometric analysis techniques. The aim of this mapping and clustering analysis is to systematically explore organizational research dedicated to cognitive styles to discover how the phenomenon of intuition shapes and is shaped by individuals in organizational contexts. This work aims to inspire future research, in particular for measuring intuitive decision making – that is, the unconscious form – with a particular focus on the organizational framework. The data examined from the Web of Science and Scopus databases comprise 20,582 peer reviewed documents published through the end of 2019. Based on this research review of decision-making styles across research domains and entrepreneurship literature in particular, this first systematic bibliometric mapping and visualization study offers insights and inspiration on how to measure and enhance intuition with a particular focus on the unconscious mind to investigate knowing without knowing with new approaches in the context of organizations.

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Section: Discussionmentioning

confidence: 99%

How to Measure and Enhance Knowing Without Knowing? A Systematic Bibliometric Mapping and Visualization of Relationships between Rational and Intuitive Decision-Making Styles To Explore Training Methods

Fellnhofer¹

2022

Preprint

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“…Previous research studies have used a variety of different equipment and set-up to capture data from participants to obtain vital signs. Thermal camera [67], [68], [69], [70], Charge-Coupled Device (CCD) camera [71], [72], other affordable web cameras or those built-in laptops [73], [74], [75], [76], [77], [78], [79], [80], [81], MS Kinect V2 [82], [83], [66], Kinect Azure [84], GoPro camera with a drone [85] and smartphone [86], [87], [88], [89], [90], [91], [92], [93], [94] cameras have been previously used to obtain a person’s vital signs. Table V and Table IV show different studies conducted with various equipment and the vital sign under observation.…”

Section: Rppg Processmentioning

confidence: 99%

Remote Photoplethysmography (rPPG): A State-of-the-Art Review

Pirzada,

Wilde,

Doherty

et al. 2023

Preprint

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Peripheral oxygen saturation (SpO2) and heart rate (HR) are critical physiological measures that clinicians need to observe to decide on an emergency intervention. These measures are typically determined using a contact-based pulse oximeter. This approach may pose difficulties in many cases, such as with young children, patients with burnt or sensitive skin, cognitive impairments, and those undergoing certain medical procedures or severe illnesses. Remote Photoplethysmography (rPPG) allows for unobtrusive sensing of these vital signs in a variety of settings for health monitoring systems. Several research studies have been conducted to use rPPG for this purpose; however, there is still not a commercially available, clinically validated system that overcomes the concerns highlighted in this paper. We present a state-of-the-art review of rPPG-related research conducted including related processes and techniques, such as regions of interest (ROI) selection, extracting the raw signal, pre-processing data, applying noise reduction algorithms, Fast Fourier transforms (FFT), filtering and extracting these vital signs. Further, we present a detailed, critical evaluation of available rPPG systems. Limitations and future directions have also been identified to aid rPPG researchers in further advancing this field.

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“…Previous research has demonstrated various methods for measuring pulse rate by applying independent component analysis (ICA), principal component analysis (PCA), fast Fourier transform (FFT), band pass filter (BPF) to RGB color data calculated in the region of interest (ROI) of facial images [ 1 , 7 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 ], and by analyzing head movement and blinking [ 12 , 14 , 35 ] under controlled laboratory conditions. However, in external environments (outdoor bench, car, drone), the pulse rate cannot be accurately measured due to factors such as the user’s fine body tremor, illumination changes, non-detection of the face, etc.…”

Section: Introductionmentioning

confidence: 99%

Robust Pulse Rate Measurements from Facial Videos in Diverse Environments

Park

Hong²

2022

Sensors

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Pulse wave and pulse rate are important indicators of cardiovascular health. Technologies that can check the pulse by contacting the skin with optical sensors built into smart devices have been developed. However, this may cause inconvenience, such as foreign body sensation. Accordingly, studies have been conducted on non-contact pulse rate measurements using facial videos focused on the indoors. Moreover, since the majority of studies are conducted indoors, the error in the pulse rate measurement in outdoor environments, such as an outdoor bench, car and drone, is high. In this paper, to deal with this issue, we focus on developing a robust pulse measurement method based on facial videos taken in diverse environments. The proposed method stably detects faces by removing high-frequency components of face coordinate signals derived from fine body tremors and illumination conditions. It optimizes for extracting skin color changes by reducing illumination-caused noise using the Cg color difference component. The robust pulse wave is extracted from the Cg signal using FFT–iFFT with zero-padding. It can eliminate signal-filtering distortion effectively. We demonstrate that the proposed method relieves pulse rate measurement problems, producing 3.36, 5.81, and 6.09 bpm RMSE for an outdoor bench, driving car, and flying drone, respectively.

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Real Time Tracking of Heart Rate from Facial Video Using Webcam

Cited by 8 publications

References 13 publications

How to Measure and Enhance Knowing Without Knowing? A Systematic Bibliometric Mapping and Visualization of Relationships between Rational and Intuitive Decision-Making Styles To Explore Training Methods

How to Measure and Enhance Knowing Without Knowing? A Systematic Bibliometric Mapping and Visualization of Relationships between Rational and Intuitive Decision-Making Styles To Explore Training Methods

Remote Photoplethysmography (rPPG): A State-of-the-Art Review

Robust Pulse Rate Measurements from Facial Videos in Diverse Environments

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