The influence of color association strength and consistency on ease of processing of ambient lighting feedback

2016 ◽  
Vol 47 ◽  
pp. 204-212 ◽  
Author(s):  
Shengnan Lu ◽  
Jaap Ham ◽  
Cees Midden
2011 ◽  
Author(s):  
Jason Arndt ◽  
Andy Hyatt ◽  
Divya Dethier ◽  
Emily Whitaker ◽  
Nina Hommel ◽  
...  

2021 ◽  
Vol 183 ◽  
pp. 106-117
Author(s):  
Zhihui She ◽  
Li-Fang Hung ◽  
Baskar Arumugam ◽  
Krista M. Beach ◽  
Earl L. Smith

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Kanghyu Lee ◽  
David K. Han ◽  
Hanseok Ko

We propose a novel remote heart rate (HR) estimation method using facial images based on video analytics. Most of previous methods have been demonstrated in well-controlled indoor environments. In contrast, this paper proposes a practical video analytic framework under actual driving conditions by extracting key HR inducing features. In particular, when cars are driven, effective and stable HR estimation becomes challenging as there are many dynamic elements, such as rapid illumination changes, vibrations, and ambient lighting that can exist in the vehicle interior. To overcome those disturbances of HR estimation, the driver face region is first detected and cropped to the region of interest (RoI). Second, the components related to HR are extracted from mixed noisy components using ensemble empirical mode decomposition (EEMD). Finally, the extracted signal is analyzed in frequency domain and smoothed with temporal filtering. To verify our approach, the proposed method is compared with recent prominent methods employing a public HCI dataset. It has been demonstrated that the proposed approach delivers superior performance under driving conditions using Bland-Altman plots.


1983 ◽  
Vol 27 (5) ◽  
pp. 344-348
Author(s):  
Mark S. Hoffman ◽  
Martin L. Cramer

Flat-panel displays are used in consumer environments for displaying information where limits on content, physical space, power, and cost constraints are critical. Applications have traditionally included Retail Point-of-Service (POS) terminals. Most common flat-panel display technologies found in the consumer markets are Liquid Crystal Displays (LCDs), Plasma, and Vacuum Fluorescent displays. Emitting displays, i.e., Vacuum Fluorescent, Plasma, and LEDs were introduced into the marketplace with few reservations as to their general acceptance since normal ambient lighting conditions other than direct sunlight had minimal impact on readability. However, reflective display technologies, i.e., LCDs have not been widely accepted in POS products because of slower response times and a more restrictive range of ambient light needed to achieve acceptable viewing conditions. Many techniques used for determining the acceptability of a display technology for the POS environment presently used in industry are solely based upon the physical and functional performance characteristics of the display itself. This approach is similar to those used for evaluating video displays in that the primary concern is the stability of the displayed output for the intended user environment. Often these evaluations are conducted in a laboratory and therefore do not compare display performances relative to the intended end user. Even though this approach is cost-effective because the physical attributes of the display can be tailored to maximize readability, it does not consider the effect of the displayed information beyond the properties of the human visual system. Therefore, it would be desirable to develop an experimental methodology for evaluating flat-panel display technologies based upon human information processing capabilities. This requires using the information in cognitive task loadings equivalent to those experienced in the user environment. Studies comparing LCDs and Plasma display technologies were designed to construct a cognitive-perceptual model for usability assessment in the retail POS environment. A secondary task methodology was used to predict mental workload associated with each display. A Choice Reaction Time (CRT) paradigm proved to be an effective method for exploring cognitive-behavioral problems associated with the displays beyond those considered in the traditional methods of display evaluation.


2016 ◽  
Vol 22 (50) ◽  
pp. 159-164 ◽  
Author(s):  
Tomoko TANIGUCHI ◽  
Yukio TORII ◽  
Eiji SAKUMA ◽  
Yoshihiro KURAMOTO ◽  
Michiya SUZUKI ◽  
...  

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