A fast vein display device based on the camera-projector system

2013 ◽  
Author(s):  
Xiaobin Dai ◽  
Ya Zhou ◽  
Xiaoming Hu ◽  
Meiqing Liu ◽  
Xia Zhu ◽  
...  
Keyword(s):  
Display Device

Estimating OLED Display Device Lifetime from pixel and screen brightness and its application

2019 ◽  
Vol 2019 (1) ◽  
pp. 331-338 ◽  
Author(s):  
Jérémie Gerhardt ◽  
Michael E. Miller ◽  
Hyunjin Yoo ◽  
Tara Akhavan
Keyword(s):  
Image Processing ◽  
Power Consumption ◽  
Model Parameters ◽  
Display Device ◽  
Image Processing Algorithm ◽  
Pixel Value ◽  
Device Lifetime ◽  
The Impact ◽  
Oled Display

In this paper we discuss a model to estimate the power consumption and lifetime (LT) of an OLED display based on its pixel value and the brightness setting of the screen (scbr). This model is used to illustrate the effect of OLED aging on display color characteristics. Model parameters are based on power consumption measurement of a given display for a number of pixel and scbr combinations. OLED LT is often given for the most stressful display operating situation, i.e. white image at maximum scbr, but having the ability to predict the LT for other configurations can be meaningful to estimate the impact and quality of new image processing algorithms. After explaining our model we present a use case to illustrate how we use it to evaluate the impact of an image processing algorithm for brightness adaptation.

scholarly journals Multiclass emotion prediction using heart rate and virtual reality stimuli

2021 ◽  
Vol 8 (1) ◽  
Author(s):  
Aaron Frederick Bulagang ◽  
James Mountstephens ◽  
Jason Teo
Keyword(s):  
Heart Rate ◽  
Virtual Reality ◽  
Nearest Neighbor ◽  
Subject Classification ◽  
Support Vector ◽  
Display Device ◽  
K Nearest Neighbor ◽  
Potential Applications ◽  
Health Rehabilitation ◽  
Emotion Model

Abstract Background Emotion prediction is a method that recognizes the human emotion derived from the subject’s psychological data. The problem in question is the limited use of heart rate (HR) as the prediction feature through the use of common classifiers such as Support Vector Machine (SVM), K-Nearest Neighbor (KNN) and Random Forest (RF) in emotion prediction. This paper aims to investigate whether HR signals can be utilized to classify four-class emotions using the emotion model from Russell’s in a virtual reality (VR) environment using machine learning. Method An experiment was conducted using the Empatica E4 wristband to acquire the participant’s HR, a VR headset as the display device for participants to view the 360° emotional videos, and the Empatica E4 real-time application was used during the experiment to extract and process the participant's recorded heart rate. Findings For intra-subject classification, all three classifiers SVM, KNN, and RF achieved 100% as the highest accuracy while inter-subject classification achieved 46.7% for SVM, 42.9% for KNN and 43.3% for RF. Conclusion The results demonstrate the potential of SVM, KNN and RF classifiers to classify HR as a feature to be used in emotion prediction in four distinct emotion classes in a virtual reality environment. The potential applications include interactive gaming, affective entertainment, and VR health rehabilitation.

A Dual-Wavelength Electrochromic Film Based on Pt(II) Complex for Optical Modulation at Telecommunication Wavelength and Dark Solid-State Display Device

2021 ◽  
Author(s):  
Qiaozhen Pi ◽  
Dongqin Bi ◽  
dongfang qiu ◽  
Hongwei Wang ◽  
Xinfeng Cheng ◽  
...  
Keyword(s):  
Solid State ◽  
Dual Wavelength ◽  
Optical Modulation ◽  
Display Device ◽  
Redox Behaviour ◽  
Diffusion Controlled ◽  
Telecommunication Wavelength

A cyclometalated platinum phenylacetylide [(L)Pt(C≡C-ph)] {L = 4-[p-(diphenylamino)phenyl]-6-phenyl-2,2’-bipyridine} has been successfully synthesized and characterized. And its oxidative electropolymerization film with a non-diffusion controlled redox behaviour and an inverse dependence of...

scholarly journals Colour Recognition Algorithm Based on Colour Mapping Knowledge for Wooden Building Image

2022 ◽  
Vol 2022 ◽  
pp. 1-11
Author(s):  
Siyi Jia ◽  
Heng Chen
Keyword(s):  
Mutual Influence ◽  
Block Diagram ◽  
Recognition Algorithm ◽  
Linear Mapping ◽  
Display Device ◽  
Mapping Algorithm ◽  
Image Reproduction ◽  
Reproduction Process ◽  
Mapping Technology ◽  
Image Pixels

In the cross-media image reproduction technology, the accurate transfer and reproduction of colour between different media are an important issue in the reproduction process, and the colour mapping technology is the key technology to effectively maintain the image details and improve the level of colour reproduction. Wooden structure in the image colour and colour piece is different, the image of each colour of visual perception is not independent, and every colour in the image pixels is affected by the surrounding pixels, but in the process of image map, without thinking of the pixel space, adjacent pixels of mutual influence in particular, do not let a person particularly be satisfied with the resulting map figure. In the process of image processing by traditional colour mapping algorithm, the colour distortion caused by colour component is ignored and the block diagram of colour mapping system is constructed. With the continuous development of mapping recognition algorithms, the maximum and minimum brightness values in the image are mapped to the maximum and minimum brightness values of the display device by linear mapping algorithm according to the flow of the established recognition algorithm. By establishing the colour adjustment method of the colour mapping image, the processing effect of the mapping algorithm is analysed. The results show that the brightness deviation of the image is reduced and the colour resolution is improved by the colour brightness compensation.

scholarly journals A Proposal and a Feasibility Study of an Interferometric Display Device

1999 ◽  
Vol 119 (12) ◽  
pp. 631-635
Author(s):  
Takeshi Hatsuzawa ◽  
Tsuguyo Goto ◽  
Toshiaki Oguchi ◽  
Masanori Hayase
Keyword(s):  
Feasibility Study ◽  
Display Device
Sign in / Sign up

Export Citation Format

Share Document