Remote Heart Rate and Heart Rate Variability Detection and Monitoring from Face Video with Minimum Resources

Alam, Kazi Shafiul; He, Lin; Ma, Jiachen; Dipal, Dipranjan Das; Yap, Mike; Kerjner, Boris; Rezwan, Siam; Iqbal, Anik; Ahamed, Sheikh Iqbal

doi:10.1109/compsac48688.2020.00-62

Cited by 9 publications

(2 citation statements)

References 14 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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“…Finally, vital sign data is to be extracted from the signal [51], [28], [112], [113], [121], [122], [123], [124], [125], [126]. A peak is identified from the signal to obtain HR vital data.…”

Section: E Extracting Vitalmentioning

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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Towards a Survey on Universal Human Vital Signs with prototype for Detection and Record Electronically Acceptable Medical-data (dDream)

Rabbani

Alam

et al. 2022

2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC)

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Remote Heart Rate and Heart Rate Variability Detection and Monitoring from Face Video with Minimum Resources

Cited by 9 publications

References 14 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

Towards a Survey on Universal Human Vital Signs with prototype for Detection and Record Electronically Acceptable Medical-data (dDream)

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