Three-dimensional CNN-inspired deep learning architecture for Yoga pose recognition in the real-world environment

Author(s):  
Shrajal Jain ◽  
Aditya Rustagi ◽  
Sumeet Saurav ◽  
Ravi Saini ◽  
Sanjay Singh
2019 ◽  
Vol 2019 (1) ◽  
pp. 237-242
Author(s):  
Siyuan Chen ◽  
Minchen Wei

Color appearance models have been extensively studied for characterizing and predicting the perceived color appearance of physical color stimuli under different viewing conditions. These stimuli are either surface colors reflecting illumination or self-luminous emitting radiations. With the rapid development of augmented reality (AR) and mixed reality (MR), it is critically important to understand how the color appearance of the objects that are produced by AR and MR are perceived, especially when these objects are overlaid on the real world. In this study, nine lighting conditions, with different correlated color temperature (CCT) levels and light levels, were created in a real-world environment. Under each lighting condition, human observers adjusted the color appearance of a virtual stimulus, which was overlaid on a real-world luminous environment, until it appeared the whitest. It was found that the CCT and light level of the real-world environment significantly affected the color appearance of the white stimulus, especially when the light level was high. Moreover, a lower degree of chromatic adaptation was found for viewing the virtual stimulus that was overlaid on the real world.


Author(s):  
Sidney D’Mello ◽  
Eric Mathews ◽  
Lee McCauley ◽  
James Markham

We studied the characteristics of four commercially available RFID tags such as their orientation on an asset and their position in a three dimensional real world environment to obtain comprehensive data to substantiate a baseline for the use of RFID technology in a diverse supply chain management setting. Using RFID tags manufactured by four different vendors and a GHz Transverse Electromagnetic (GTEM) cell, in which an approximately constant electromagnetic (EM) field was maintained, we characterized the tags based on horizontal and vertical orientation on a simulated asset. With these baseline characteristics determined, we moved two of the four tags through a real world environment in three dimensions using an industrial robotic system to determine the effect of asset position in relation to the reader on tag readability. Combining the data collected over these two studies, we provide a rich analysis of the feasibility of asset tracking in a real world supply chain, where there would likely be multiple tag types. We offer fine grained analyses of the tag types and make recommendations for diverse supply chain asset tracking.


2018 ◽  
Author(s):  
Uri Korisky ◽  
Rony Hirschhorn ◽  
Liad Mudrik

Notice: a peer-reviewed version of this preprint has been published in Behavior Research Methods and is available freely at http://link.springer.com/article/10.3758/s13428-018-1162-0Continuous Flash Suppression (CFS) is a popular method for suppressing visual stimuli from awareness for relatively long periods. Thus far, it has only been used for suppressing two-dimensional images presented on-screen. We present a novel variant of CFS, termed ‘real-life CFS’, with which the actual immediate surroundings of an observer – including three-dimensional, real life objects – can be rendered unconscious. Real-life CFS uses augmented reality goggles to present subjects with CFS masks to their dominant eye, leaving their non-dominant eye exposed to the real world. In three experiments we demonstrate that real objects can indeed be suppressed from awareness using real-life CFS, and that duration suppression is comparable that obtained using the classic, on-screen CFS. We further provide an example for an experimental code, which can be modified for future studies using ‘real-life CFS’. This opens the gate for new questions in the study of consciousness and its functions.


2021 ◽  
Author(s):  
Emily Wenger ◽  
Max Bronckers ◽  
Christian Cianfarani ◽  
Jenna Cryan ◽  
Angela Sha ◽  
...  

Author(s):  
R. T. Scott ◽  
G. A. Gabriele

Abstract An exact constraint scheme based on the physical contacting constraints of real part mating features is used to represent the process of assembling the parts. To provide useful probability information about how assembly dimensions are distributed when the parts are assembled as intended, the real world constraints that would prevent interference are ignored. This work addresses some limitations in the area of three dimensional assembly tolerance analysis. As a result of this work, the following were demonstrated: 1. Assembly of parts whose assembly mating features are subjected to variation; 2. Assemble parts using a real world set of exact constraints; 3. Provide probability distributions of assembly dimensions.


Author(s):  
Azizul Hassan

Augmented reality (AR) offers an interactive experience of the real-world environment when an object of the real-world is augmented by computer-generated perceptual information and relevant artefacts. This is a conceptual chapter based on the review of available literature. Also, resources on the internet have also been accessed and reviewed. On the context of the Diffusion of Innovation theory, this research aims to outline AR guiding for in an airport used for tourist aviation. Biman Bangladesh Airlines, the national flag carrier of the country, is the example where this study also explains the possible challenges and benefits that AR guiding facilities can possibly have. This research outlines two specific areas of management and marketing issues are analysis on the way to implement such guiding. Findings show that from the understanding of the Diffusion of Innovation, AR guiding in these days is adopted by an ‘Early Majority' who are followers and engages in reading those reviews given by the previous adopters of new services or products.


2019 ◽  
Vol 70 ◽  
pp. 08046
Author(s):  
Anton Zagranichniy

The article presents research results demonstrating interrelation between factors affecting frequency of social activity transfer from the virtual environment to the real-world one and vice versa. In the course of the study we investigated 19 different factors, including socio-demographic characteristics, amount and specificity of contacts in each of the environments, subjective assessment of social activity characteristics in various environments. The study involved 214 respondents aged 15 to 24 from the cities of Balakovo, Saratov, and Moscow. We analysed and interpreted the correlation interrelation via social activity transfer from one environment to another and by such factors as: place of residence size; number of friends in the virtual environment; factor regarding frequency of misconduct situations that were followed by moral responsibility in the real environment; factor of compliance with social norms in the virtual environment.


The Analyst ◽  
2020 ◽  
Vol 145 (1) ◽  
pp. 277-285 ◽  
Author(s):  
Muhammad Ali Tahir ◽  
Xinlian Zhang ◽  
Hanyun Cheng ◽  
Dong Xu ◽  
Yiqing Feng ◽  
...  

We present a SERS-based Klarite interface for the rapid and culture-free detection and quantification of atmospheric bioaerosols in the real-world environment.


2019 ◽  
Vol 7 (1) ◽  
pp. 35-52 ◽  
Author(s):  
Balamurali Gunji ◽  
Deepak B.B.V.L. ◽  
Saraswathi M.B.L. ◽  
Umamaheswara Rao Mogili

Purpose The purpose of this paper is to obtain an optimal mobile robot path planning by the hybrid algorithm, which is developed by two nature inspired meta-heuristic algorithms, namely, cuckoo-search and bat algorithm (BA) in an unknown or partially known environment. The cuckoo-search algorithm is based on the parasitic behavior of the cuckoo, and the BA is based on the echolocation behavior of the bats. Design/methodology/approach The developed algorithm starts by sensing the obstacles in the environment using ultrasonic sensor. If there are any obstacles in the path, the authors apply the developed algorithm to find the optimal path otherwise reach the target point directly through diagonal distance. Findings The developed algorithm is implemented in MATLAB for the simulation to test the efficiency of the algorithm for different environments. The same path is considered to implement the experiment in the real-world environment. The ARDUINO microcontroller along with the ultrasonic sensor is considered to obtain the path length and time of travel of the robot to reach the goal point. Originality/value In this paper, a new hybrid algorithm has been developed to find the optimal path of the mobile robot using cuckoo search and BAs. The developed algorithm is tested with the real-world environment using the mobile robot.


2020 ◽  
Vol 88 ◽  
pp. 103145 ◽  
Author(s):  
Susanna Aromaa ◽  
Antti Väätänen ◽  
Iina Aaltonen ◽  
Vladimir Goriachev ◽  
Kaj Helin ◽  
...  

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