scholarly journals Synthetic Generation of Passive Infrared Motion Sensor Data Using a Game Engine

Sensors ◽  
2021 ◽  
Vol 21 (23) ◽  
pp. 8078
Author(s):  
Petter Stefansson ◽  
Fredrik Karlsson ◽  
Magnus Persson ◽  
Carl Magnus Olsson
Keyword(s):  
Real World ◽  
Ground Truth ◽  
Sensor Data ◽  
Motion Sensor ◽  
Game Engine ◽  
The Real ◽  
Indoor Space ◽  
Simulated Environment ◽  
The Relationship ◽  
Passive Infrared

Quantifying the number of occupants in an indoor space is useful for a wide variety of applications. Attempts have been made at solving the task using passive infrared (PIR) motion sensor data together with supervised learning methods. Collecting a large labeled dataset containing both PIR motion sensor data and ground truth people count is however time-consuming, often requiring one hour of observation for each hour of data gathered. In this paper, a method is proposed for generating such data synthetically. A simulator is developed in the Unity game engine capable of producing synthetic PIR motion sensor data by detecting simulated occupants. The accuracy of the simulator is tested by replicating a real-world meeting room inside the simulator and conducting an experiment where a set of choreographed movements are performed in the simulated environment as well as the real room. In 34 out of 50 tested situations, the output from the simulated PIR sensors is comparable to the output from the real-world PIR sensors. The developed simulator is also used to study how a PIR sensor’s output changes depending on where in a room a motion is carried out. Through this, the relationship between sensor output and spatial position of a motion is discovered to be highly non-linear, which highlights some of the difficulties associated with mapping PIR data to occupancy count.

Impacts of online and offline Islamophobia

Islamophobia ◽  
2016 ◽  
Author(s):  
Irene Zempi ◽  
Imran Awan
Keyword(s):  
Real World ◽  
Emotional Responses ◽  
Depression And Anxiety ◽  
The Real ◽  
The Relationship

This chapter examines the implications of online/offline Islamophobia for victims including increased feelings of vulnerability, fear and insecurity. Participants also suffered a range of psychological and emotional responses such as low confidence, depression and anxiety. Additionally, participants highlighted the relationship between online and offline Islamophobia, and described living in fear because of the possibility of online threats materialising in the ‘real world’. Many participants reported taking steps to become less ‘visible’ for example by taking the headscarf or face veil off for women and shaving their beards for men.

scholarly journals An Application of Transfer to American Football: From Observation of Raw Video to Control in a Simulated Environment

AI Magazine ◽  
2011 ◽  
Vol 32 (2) ◽  
pp. 107 ◽  
Author(s):  
David J. Stracuzzi ◽  
Alan Fern ◽  
Kamal Ali ◽  
Robin Hess ◽  
Jervis Pinto ◽  
...  
Keyword(s):  
Real World ◽  
Intelligent Systems ◽  
American Football ◽  
Video Observation ◽  
Prototype System ◽  
The Real ◽  
Simulated Environment

Automatic transfer of learned knowledge from one task or domain to another offers great potential to simplify and expedite the construction and deployment of intelligent systems. In practice however, there are many barriers to achieving this goal. In this article, we present a prototype system for the real-world context of transferring knowledge of American football from video observation to control in a game simulator. We trace an example play from the raw video through execution and adaptation in the simulator, highlighting the system's component algorithms along with issues of complexity, generality, and scale. We then conclude with a discussion of the implications of this work for other applications, along with several possible improvements.

scholarly journals Re-Enactment as a Method to Reproduce Real-World Fall Events Using Inertial Sensor Data: Development and Usability Study

10.2196/13961 ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. e13961
Author(s):  
Kim Sarah Sczuka ◽  
Lars Schwickert ◽  
Clemens Becker ◽  
Jochen Klenk
Keyword(s):  
Real World ◽  
Independent Living ◽  
Inertial Sensors ◽  
Inertial Sensor ◽  
Center Of Mass ◽  
Fall Detection ◽  
Video Data ◽  
Sensor Data ◽  
Movement Behavior ◽  
The Real

Background Falls are a common health problem, which in the worst cases can lead to death. To develop reliable fall detection algorithms as well as suitable prevention interventions, it is important to understand circumstances and characteristics of real-world fall events. Although falls are common, they are seldom observed, and reports are often biased. Wearable inertial sensors provide an objective approach to capture real-world fall signals. However, it is difficult to directly derive visualization and interpretation of body movements from the fall signals, and corresponding video data is rarely available. Objective The re-enactment method uses available information from inertial sensors to simulate fall events, replicate the data, validate the simulation, and thereby enable a more precise description of the fall event. The aim of this paper is to describe this method and demonstrate the validity of the re-enactment approach. Methods Real-world fall data, measured by inertial sensors attached to the lower back, were selected from the Fall Repository for the Design of Smart and Self-Adaptive Environments Prolonging Independent Living (FARSEEING) database. We focused on well-described fall events such as stumbling to be re-enacted under safe conditions in a laboratory setting. For the purposes of exemplification, we selected the acceleration signal of one fall event to establish a detailed simulation protocol based on identified postures and trunk movement sequences. The subsequent re-enactment experiments were recorded with comparable inertial sensor configurations as well as synchronized video cameras to analyze the movement behavior in detail. The re-enacted sensor signals were then compared with the real-world signals to adapt the protocol and repeat the re-enactment method if necessary. The similarity between the simulated and the real-world fall signals was analyzed with a dynamic time warping algorithm, which enables the comparison of two temporal sequences varying in speed and timing. Results A fall example from the FARSEEING database was used to show the feasibility of producing a similar sensor signal with the re-enactment method. Although fall events were heterogeneous concerning chronological sequence and curve progression, it was possible to reproduce a good approximation of the motion of a person’s center of mass during fall events based on the available sensor information. Conclusions Re-enactment is a promising method to understand and visualize the biomechanics of inertial sensor-recorded real-world falls when performed in a suitable setup, especially if video data is not available.

scholarly journals Neither a New Cold War nor a New Peloponnesian War: The Emerging Cyber-narrative Competition at the Heart of Sino-American Relations

2021 ◽  
Vol 21 (2) ◽  
pp. 252-264
Author(s):  
Nicholas Ross Smith ◽  
Ruairidh J. Brown
Keyword(s):  
United States ◽  
Cold War ◽  
Real World ◽  
The United States ◽  
Peloponnesian War ◽  
The Real ◽  
Current State ◽  
Thucydides Trap ◽  
The Relationship ◽  
Industrial Revolutions

There is much pessimism as to the current state of Sino-American relations, especially since the onset of the COVID-19 pandemic in January 2020. Such pessimism has led to some scholars and commentators asserting that the Sino-American relationship is on the cusp of either a new Cold War or, even more alarmingly, something akin to the Peloponnesian War (via a Thucydides Trap) whereby the United States might take pre-emptive measures against China. This article rejects such analogizing and argues that, due to important technological advancements found at the intersection of the digital and fourth industrial revolutions, most of the real competition in the relationship is now occurring in cyberspace, especially with regards to the aim of asserting narratives of truth. Two key narrative battlegrounds that have raged since the onset of the COVID-19 pandemic are examined: where was the origin of the COVID-19 pandemic? and who has had the most successful response to the COVID-19 pandemic?. This article shows that Sino-American competition in cyberspace over asserting their narratives of truth (related to the COVID-19 pandemic) is fierce and unhinged. Part of what is driving this competition is the challenging domestic settings politicians and officials find themselves in both China and the United States, thus, the competing narratives being asserted by both sides are predominately for domestic audiences. However, given that cyberspace connects states with foreign publics more intimately, the international aspect of this competition is also important and could result in further damage to the already fragile Sino-American relationship. Yet, whether this competition will bleed into the real world is far from certain and, because of this, doomsaying via historical analogies should be avoided.

scholarly journals On the Relationship of Mathematics to the Real World

Resonance ◽  
2018 ◽  
Vol 23 (2) ◽  
pp. 183-195
Author(s):  
Deepak Dhar
Keyword(s):  
Real World ◽  
The Real ◽  
Relationship Of ◽  
The Relationship

scholarly journals Logo-2K+: A Large-Scale Logo Dataset for Scalable Logo Classification

2020 ◽  
Vol 34 (04) ◽  
pp. 6194-6201
Author(s):  
Jing Wang ◽  
Weiqing Min ◽  
Sujuan Hou ◽  
Shengnan Ma ◽  
Yuanjie Zheng ◽  
...  
Keyword(s):  
Image Recognition ◽  
Real World ◽  
Large Scale ◽  
Data Augmentation ◽  
Ground Truth ◽  
Classification Task ◽  
The Real ◽  
Product Recommendation ◽  
Contextual Advertising ◽  
Benchmark Datasets

Logo classification has gained increasing attention for its various applications, such as copyright infringement detection, product recommendation and contextual advertising. Compared with other types of object images, the real-world logo images have larger variety in logo appearance and more complexity in their background. Therefore, recognizing the logo from images is challenging. To support efforts towards scalable logo classification task, we have curated a dataset, Logo-2K+, a new large-scale publicly available real-world logo dataset with 2,341 categories and 167,140 images. Compared with existing popular logo datasets, such as FlickrLogos-32 and LOGO-Net, Logo-2K+ has more comprehensive coverage of logo categories and larger quantity of logo images. Moreover, we propose a Discriminative Region Navigation and Augmentation Network (DRNA-Net), which is capable of discovering more informative logo regions and augmenting these image regions for logo classification. DRNA-Net consists of four sub-networks: the navigator sub-network first selected informative logo-relevant regions guided by the teacher sub-network, which can evaluate its confidence belonging to the ground-truth logo class. The data augmentation sub-network then augments the selected regions via both region cropping and region dropping. Finally, the scrutinizer sub-network fuses features from augmented regions and the whole image for logo classification. Comprehensive experiments on Logo-2K+ and other three existing benchmark datasets demonstrate the effectiveness of proposed method. Logo-2K+ and the proposed strong baseline DRNA-Net are expected to further the development of scalable logo image recognition, and the Logo-2K+ dataset can be found at https://github.com/msn199959/Logo-2k-plus-Dataset.

Using Logic Activities to Produce a Class Constitution

1992 ◽  
Vol 40 (3) ◽  
pp. 174-176
Author(s):  
Susan Strand Monchamp
Keyword(s):  
Real World ◽  
Evaluation Standards ◽  
The Real ◽  
Mathematical Connections ◽  
Relationship Of ◽  
The Relationship

One of my major goals in mathematics is to have my student understand the relationship of mathematics to the real world. To this end, we begin the year in my first-gradeclass by doing a series of logic activities that lead to the production of our class constitution. The activities reflect three of the NCTM' curriculum and evaluation standards—Mathematics a Communication, Mathematics as Reasoning, and Mathematical Connections (NCTM 1989).

scholarly journals PSYChosomatic Medicine in ONcologIc and Cardiac Disease (PSYCHONIC) Study—A Retrospective and Prospective Observational Research Protocol

2021 ◽  
Vol 10 (24) ◽  
pp. 5786
Author(s):  
Adriana Roncella ◽  
Christian Pristipino ◽  
Oretta Di Carlo ◽  
Matteo Ansuini ◽  
Angela Corbosiero ◽  
...  
Keyword(s):  
Medical Therapy ◽  
Real World ◽  
Metastatic Breast ◽  
Psychological Characteristics ◽  
Observational Research ◽  
Control Group ◽  
Medical Outcomes ◽  
The Real ◽  
Relationship Of ◽  
The Relationship

Psychosocial factors play an important role in non-communicable diseases (NCDs). This observational study is primarily aimed at assessing the relationship of psychological characteristics of patients with the outcomes of different NCDs, and to assess short-term psychotherapy (STP) efficacy in the real world. Methods: One hundred and forty patients with recent acute myocardial infarction, Takotsubo syndrome, or non-metastatic breast cancer and a control group of 140 age and sex-matched healthy subjects, will be enrolled. All subjects will be administered psychometric tests, quality of life tests, a specific body perception questionnaire, a dream questionnaire, and a projective test, the Six Drawing test at baseline and follow-up. All subjects with medical conditions will be asked to freely choose between an ontopsychological STP along with standard medical therapy and, whenever indicated, rehabilitation therapy or medical therapy plus rehabilitation alone. The study endpoints will be to evaluate: the relationship of the psychological characteristics of enrolled subjects with the outcomes of different NCDs, predictors of the choice of psychotherapy, and the efficacy of ontopsychological intervention on psychological and medical outcomes. Conclusion: This study will generate data on distinctive psychological characteristics of patients suffering from different CDs and their relationship with medical outcomes, as well as explore the efficacy of ontopsychological STP in these patients in the real world. (Number of registration: NCT03437642).

scholarly journals Verification in theory and in the sciences

2020 ◽  
pp. 25
Author(s):  
Konstantinos Papageorgiou ◽  
Demetrios Lekkas
Keyword(s):  
Real World ◽  
Formal Logic ◽  
Logical System ◽  
The Real ◽  
The Road ◽  
The Common ◽  
Per Se ◽  
The Relationship ◽  
Made In

In this work, we undertake the task of laying out some basic considerations towards straightening out the foundations of an abstract logical system. We venture to explain what theory is as well as what is not theory, to discriminate between the roles of truth in theory and in reality, as well as to open the road towards clarifying the relationship between theory and the real world. Etymological, cultural and conceptual analyses of truth are brought forth in order to reveal problems in modern approaches and to set the stage for more consistent solutions. One such problem addressed here is related to negation per se, to its asymmetry towards affirmative statements and to the essential ramifications of this duality with respect to the common perceptual and linguistic aspects of words indicating concepts akin to truth in various languages and to attitudes reflected and perpetuated in them and to their consequent use in attempted informal or formal logic and its understanding. Finally, a case study invoking the causes or “causes” of gravity both clarifies and reinforces the points made in this paper.

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