HemaApp

Wang, Edward Jay; Hawkins, Doug; Gernsheimer, Terry; Norby-Slycord, C J; Patel, Shwetak

doi:10.1145/3131214.3131223

Cited by 6 publications

(8 citation statements)

References 7 publications

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“…The diffuse reflected light from human skin is dependent on skin type, color and incident wavelength 29 , 30 , allowing the remote sensing of information related to the concentration of the main absorbers or change in arterial volume. The main absorbers in the human skin in the optical window of 300–1200 nm are expected to be bilirubin ( ) (in the skin and blood plasma) 20 , DOPA-melanin ( ), hemoglobin ( ), oxyhemoglobin ( ) 30 , carbon monoxide hemoglobin ( ) and methemoglobin ( ) 31 . According to conservation of energy (Eq.…”

Section: Data Processingmentioning

confidence: 99%

“… : Pulsatile amplitude. : Based on a measure of absorption that eliminates the effect of the tissue 20 , 21 , 31 , 43 . : Based on pulsatile amplitudes dissimilarity between two wavelengths, and 20 – 22 .…”

Section: Data Processingmentioning

confidence: 99%

“…Indeed, recent work has shown that slight fluctuations of temperature across the face, captured by a thermal camera, can be related to a specific emotional state 13 – 17 . In addition, both visible light (i.e., RGB) and near infrared (NIR) wavelength video recordings contain information related to physiological signals such as cardiovascular activity and heart rate 18 , 19 as well as hemoglobin concentration and blood flow 20 – 22 .…”

Section: Introductionmentioning

confidence: 99%

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Classification of emotional states via transdermal cardiovascular spatiotemporal facial patterns using multispectral face videos

Shvimmer

Simhon

Michael

et al. 2022

Sci Rep

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We describe a new method for remote emotional state assessment using multispectral face videos, and present our findings: unique transdermal, cardiovascular and spatiotemporal facial patterns associated with different emotional states. The method does not rely on stereotypical facial expressions but utilizes different wavelength sensitivities (visible spectrum, near-infrared, and long-wave infrared) to gauge correlates of autonomic nervous system activity spatially and temporally distributed across the human face (e.g., blood flow, hemoglobin concentration, and temperature). We conducted an experiment where 110 participants viewed 150 short emotion-eliciting videos and reported their emotional experience, while three cameras recorded facial videos with multiple wavelengths. Spatiotemporal multispectral features from the multispectral videos were used as inputs to a machine learning model that was able to classify participants’ emotional state (i.e., amusement, disgust, fear, sexual arousal, or no emotion) with satisfactory results (average ROC AUC score of 0.75), while providing feature importance analysis that allows the examination of facial occurrences per emotional state. We discuss findings concerning the different spatiotemporal patterns associated with different emotional states as well as the different advantages of the current method over existing approaches to emotion detection.

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Section: Data Processingmentioning

confidence: 99%

Section: Data Processingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Classification of emotional states via transdermal cardiovascular spatiotemporal facial patterns using multispectral face videos

Shvimmer

Simhon

Michael

et al. 2022

Sci Rep

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show abstract

“…In the absence of phase transitions simple algorithms based on e.g. transition probabilities between microscopic states [16] [17], the ratio of transition matrix elements [17] [29] [30] [31], and the exclusion of transitions to bins that have been previously visited a larger number of times [23] [27] [32] yield results for that accurately reflect the underlying system behavior. However, near a phase transition large, connected regions of system variables with identical properties are present.…”

Section: Introductionmentioning

confidence: 99%

A cluster controller for transition matrix calculations

Yevick

Lee

2019

Int. J. Mod. Phys. C

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We demonstrate that a temperature schedule for single-spin flip transition matrix calculations can be simply and rapidly generated by monitoring the average size of the Wolff clusters at a set of discrete temperatures. Optimizing this schedule yields a potentially interesting quantity related to the fractal structure of Ising clusters. We also introduce a technique in which the transition matrix is constructed at a sequence of discrete temperatures at which Wolff cluster reversals are alternated with certain series of single-spin flip steps. The single spin-flip transitions are then employed to construct a single transition matrix.

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“…A unique feature of the transition matrix procedure is that since all accepted and rejected transitions are recorded, effectively arbitrary acceptance rules that do not necessarily preserve detailed balance can be employed. These include rules based on the multicanonical or Wang-Landau acceptance probabilities [23] [24] [25] [26] [27], the transition probabilities between microscopic states [16] [17], the ratio of transition matrix elements [28] [29] [17], and the exclusion of transitions to bins that have been previously visited a larger number of times. [24] [22] [30] A renormalization procedure has further been advanced that accelerates the analysis of large systems by convolving the results of transition matrix calculations of smaller systems.…”

mentioning

confidence: 99%

Dynamic canonical and microcanonical transition matrix analyses of critical behavior

Yevick

Lee

2017

Eur. Phys. J. B

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By monitoring the sampling of states with different magnetizations in transition matrix procedures a family of accurate and easily implemented techniques are constructed that automatically control the variation of the temperature or energy as the calculation proceeds. The accuracy of the method for a single Markov chain exceeds that of standard transition matrix procedures that accumulate elements from multiple chains.

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HemaApp

Cited by 6 publications

References 7 publications

Classification of emotional states via transdermal cardiovascular spatiotemporal facial patterns using multispectral face videos

Classification of emotional states via transdermal cardiovascular spatiotemporal facial patterns using multispectral face videos

A cluster controller for transition matrix calculations

Dynamic canonical and microcanonical transition matrix analyses of critical behavior

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