scholarly journals 5* Magic Wand: a RGBD camera-based 5 DoF pointing device for 3D interaction

2015 ◽  
Vol 6 (2) ◽  
pp. 1
Author(s):  
Alexandre Martins Ferreira de Sousa ◽  
Carlos Hitoshi Morimoto
Keyword(s):  
Computer Vision ◽  
Virtual Environments ◽  
Real Time ◽  
Degrees Of Freedom ◽  
3D Interaction ◽  
Magic Wand ◽  
Pointing Device

This paper introduces the 5* Magic Wand, an inexpensive pointing device for 3D interaction. As users play the role of a “wizard”, the 5* Magic Wand allows them to interact with the computer by pointing to places, performing gestures, and casting “spells”. We have developed computer vision techniques to track the wand with 5 degrees of freedom, and built a real-time prototype consisting of a standard PC, a RGBD camera, and a simple stick. Finally, in order to demonstrate the applicability of the system for navigating in virtual environments, we have created a 3D application called “Magic Carpet”.

scholarly journals Proposal and evaluation of a tablet-based tool for 3D virtual environments

2014 ◽  
Vol 4 (2) ◽  
pp. 1
Author(s):  
Daniel Medeiros ◽  
Felipe Carvalho ◽  
Lucas Teixeira ◽  
Priscilla Braz ◽  
Alberto Raposo ◽  
...  
Keyword(s):  
Virtual Environments ◽  
Degrees Of Freedom ◽  
Specific Interaction ◽  
System Control ◽  
3D Interaction ◽  
Additional Information ◽  
Manipulation System ◽  
Study Case ◽  
Immersive Environment ◽  
3D Virtual Environments

The introduction of embedded sensors in smartphones and tablets allowed the use of these devices to interact with virtual environments. These devices also have the possibility of including additional information and performing naturally non-immersive tasks. This work presents a 3D interaction tablet-based tool, which allows the aggregation of all major 3D interaction tasks, such as navigation, selection, manipulation, system control and symbolic input. This tool is for generalpurpose systems, as well as, engineering applications. Generally this kind of application uses specific interaction devices with four or more degrees of freedom and a common keyboard and mouse for tasks that are naturally non-immersive, such as symbolic input (e.g., text or number input). This article proposes a new tablet-based device that can perform all these major tasks in an immersive environment. It also presents a study case of the use of the device and some user tests.

The Use of Avatars and Virtual Worlds for Learning

2011 ◽  
pp. 234-261
Keyword(s):  
Social Interactions ◽  
Virtual Environments ◽  
Real Time ◽  
Virtual Worlds ◽  
Learning Experiences ◽  
Collaborative Virtual Environments

Virtual environments (VEs) can be immersive (IVE) or collaborative (CVE). Networked collaborative virtual environments (NCVEs) connect participants in real time via a network. Each type of VE presents opportunities to use different combinations of technologies to design engaging learning experiences, especially using avatars. Avatars are used as forms of self-representation for students as well as instructors. Anonymity enables users to alter their identities and interact in new ways through transformed social interactions. Advancements in technology continue to humanize avatars, thus changing their role in the VE and also changing the role of the instructor.

Role of Clustering Techniques in Effective Image Segmentation

2018 ◽  
pp. 128-160
Author(s):  
Bhavneet Kaur ◽  
Meenakshi Sharma
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Image Segmentation ◽  
Object Detection ◽  
Real Time ◽  
Vision Research ◽  
Medical Equipment ◽  
Additional Advantage ◽  
Clustering Techniques

Image segmentation is gauged as an essential stage of representation in image processing. This process segregates a digitized image into various categorized sections. An additional advantage of distinguishing dissimilar objects can be represented within this state of the art. Numerous image segmentation techniques have been proposed by various researchers, which maintained a smooth and easy timely evaluation. In this chapter, an introduction to image processing along with segmentation techniques, computer vision fundamentals, and its applied applications that will be of worth to the image processing and computer vision research communities has been deeply studied. It aims to interpret the role of various clustering-based image segmentation techniques specifically. Use of the proposed chapter if made in real time can project better outcomes in object detection and recognition, which can then later be applied in numerous applications and devices like in robots, automation, medical equipment, etc. for safety, advancement, and betterment of society.

scholarly journals Automation in Surveillance: A Review of the Developments

2021 ◽  
Vol 9 (9) ◽  
pp. 377-380
Author(s):  
Sai Shashank Mukkera
Keyword(s):  
Computer Vision ◽  
Real Time ◽  
Literature Survey ◽  
Video Data ◽  
Surveillance Systems ◽  
Strong Emphasis

Abstract: The purpose of this paper is to conduct a literature survey on the developments of surveillance systems while laying strong emphasis on AI-related developments. With the rise in availability of video data and advancements in computer vision techniques, the role of AI in surveillance has become more prominent. Most surveillance footage is used for investigative purposes after an event has occurred instead of providing real-time alerts. The systems discussed in this paper help achieve this goal of providing real-time alerts. Limitations and strengths of the systems are also discussed.

On the Use of Quantum Thermal Bath in Unimolecular Fragmentation Simulations

2019 ◽  
Author(s):  
Riccardo Spezia ◽  
Hichem Dammak
Keyword(s):  
Degrees Of Freedom ◽  
Molecular Simulations ◽  
Zero Point ◽  
Thermal Bath ◽  
Unimolecular Dissociation ◽  
Point Energy ◽  
Rotational Degrees Of Freedom ◽  
The Difference ◽  
Nuclear Effects

<div> <div> <div> <p>In the present work we have investigated the possibility of using the Quantum Thermal Bath (QTB) method in molecular simulations of unimolecular dissociation processes. Notably, QTB is aimed in introducing quantum nuclear effects with a com- putational time which is basically the same as in newtonian simulations. At this end we have considered the model fragmentation of CH4 for which an analytical function is present in the literature. Moreover, based on the same model a microcanonical algorithm which monitor zero-point energy of products, and eventually modifies tra- jectories, was recently proposed. We have thus compared classical and quantum rate constant with these different models. QTB seems to correctly reproduce some quantum features, in particular the difference between classical and quantum activation energies, making it a promising method to study unimolecular fragmentation of much complex systems with molecular simulations. The role of QTB thermostat on rotational degrees of freedom is also analyzed and discussed. </p> </div> </div> </div>

Developing Algorithms for a Berry Recognition System Used in Robotized Harvesting of Garden Strawberry

2020 ◽  
Vol 67 (1) ◽  
pp. 133-141
Author(s):  
Dmitriy O. Khort ◽  
Aleksei I. Kutyrev ◽  
Igor G. Smirnov ◽  
Rostislav A. Filippov ◽  
Roman V. Vershinin
Keyword(s):  
Computer Vision ◽  
Technological Process ◽  
Degrees Of Freedom ◽  
Computer Control ◽  
Recognition System ◽  
Raspberry Pi ◽  
Laser Sensors ◽  
Lighting Conditions ◽  
Systems Research ◽  
Degree Of Maturity

Technological capabilities of agricultural units cannot be optimally used without extensive automation of production processes and the use of advanced computer control systems. (Research purpose) To develop an algorithm for recognizing the coordinates of the location and ripeness of garden strawberries in different lighting conditions and describe the technological process of its harvesting in field conditions using a robotic actuator mounted on a self-propelled platform. (Materials and methods) The authors have developed a self-propelled platform with an automatic actuator for harvesting garden strawberry, which includes an actuator with six degrees of freedom, a co-axial gripper, mg966r servos, a PCA9685 controller, a Logitech HD C270 computer vision camera, a single-board Raspberry Pi 3 Model B+ computer, VL53L0X laser sensors, a SZBK07 300W voltage regulator, a Hubsan X4 Pro H109S Li-polymer battery. (Results and discussion) Using the Python programming language 3.7.2, the authors have developed a control algorithm for the automatic actuator, including operations to determine the X and Y coordinates of berries, their degree of maturity, as well as to calculate the distance to berries. It has been found that the effectiveness of detecting berries, their area and boundaries with a camera and the OpenCV library at the illumination of 300 Lux reaches 94.6 percent’s. With an increase in the robotic platform speed to 1.5 kilometre per hour and at the illumination of 300 Lux, the average area of the recognized berries decreased by 9 percent’s to 95.1 square centimeter, at the illumination of 200 Lux, the area of recognized berries decreased by 17.8 percent’s to 88 square centimeter, and at the illumination of 100 Lux, the area of recognized berries decreased by 36.4 percent’s to 76 square centimeter as compared to the real area of berries. (Conclusions) The authors have provided rationale for the technological process and developed an algorithm for harvesting garden strawberry using a robotic actuator mounted on a self-propelled platform. It has been proved that lighting conditions have a significant impact on the determination of the area, boundaries and ripeness of berries using a computer vision camera.

scholarly journals Enhancing Qualities of Consciousness during Online Learning via Multisensory Interactions

2021 ◽  
Vol 11 (5) ◽  
pp. 57
Author(s):  
Valentina Cesari ◽  
Benedetta Galgani ◽  
Angelo Gemignani ◽  
Danilo Menicucci
Keyword(s):  
Online Learning ◽  
Virtual Environments ◽  
Information Technologies ◽  
Physical Distance ◽  
Traditional Learning ◽  
Sense Of Presence ◽  
Lack Of Control ◽  
Multisensory Interactions ◽  
Feasible Alternative

Online-learning is a feasible alternative to in-person attendance during COVID-19 pandemic. In this period, information technologies have allowed sharing experiences, but have also highlighted some limitations compared to traditional learning. Learning is strongly supported by some qualities of consciousness such as flow (intended as the optimal state of absorption and engagement activity) and sense of presence (feeling of exerting control, interacting with and getting immersed into real/virtual environments), behavioral, emotional, and cognitive engagement, together with the need for social interaction. During online learning, feelings of disconnection, social isolation, distractions, boredom, and lack of control exert a detrimental effect on the ability to reach the state of flow, the feeling of presence, the feeling of social involvement. Since online environments could prevent the rising of these learning–supporting variables, this article aims at describing the role of flow, presence, engagement, and social interactions during online sessions and at characterizing multisensory stimulations as a driver to cope with these issues. We argue that the use of augmented, mixed, or virtual reality can support the above-mentioned domains, and thus counteract the detrimental effects of physical distance. Such support could be further increased by enhancing multisensory stimulation modalities within augmented and virtual environments.

scholarly journals Dzyaloshinskii–Moriya interaction in noncentrosymmetric superlattices

2021 ◽  
Vol 7 (1) ◽  
Author(s):  
Woo Seung Ham ◽  
Abdul-Muizz Pradipto ◽  
Kay Yakushiji ◽  
Kwangsu Kim ◽  
Sonny H. Rhim ◽  
...  
Keyword(s):  
Heavy Metal ◽  
Degrees Of Freedom ◽  
Orbit Coupling ◽  
Inversion Symmetry ◽  
Spin Orbit Coupling ◽  
Spin Orbit ◽  
Band Formation ◽  
Research Activities ◽  
Moriya Interaction

AbstractDzyaloshinskii–Moriya interaction (DMI) is considered as one of the most important energies for specific chiral textures such as magnetic skyrmions. The keys of generating DMI are the absence of structural inversion symmetry and exchange energy with spin–orbit coupling. Therefore, a vast majority of research activities about DMI are mainly limited to heavy metal/ferromagnet bilayer systems, only focusing on their interfaces. Here, we report an asymmetric band formation in a superlattices (SL) which arises from inversion symmetry breaking in stacking order of atomic layers, implying the role of bulk-like contribution. Such bulk DMI is more than 300% larger than simple sum of interfacial contribution. Moreover, the asymmetric band is largely affected by strong spin–orbit coupling, showing crucial role of a heavy metal even in the non-interfacial origin of DMI. Our work provides more degrees of freedom to design chiral magnets for spintronics applications.

Use of odor by host-finding insects: the role of real-time odor environment and odor mixing degree

Chemoecology ◽  
2021 ◽  
Author(s):  
Xinliang Shao ◽  
Ke Cheng ◽  
Zhengwei Wang ◽  
Qin Zhang ◽  
Xitian Yang
Keyword(s):  
Real Time ◽  
Host Finding
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