scholarly journals Automatic Person Identification in Camera Video by Motion Correlation

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Dingbo Duan ◽  
Guangyu Gao ◽  
Chi Harold Liu ◽  
Jian Ma
Keyword(s):  
Video Sequence ◽  
Semantic Analysis ◽  
Smart Phone ◽  
Smart Phones ◽  
Video Content ◽  
Person Identification ◽  
Identity Information ◽  
Sensor Platforms ◽  
Motion Features ◽  
Novel Method

Person identification plays an important role in semantic analysis of video content. This paper presents a novel method to automatically label persons in video sequence captured from fixed camera. Instead of leveraging traditional face recognition approaches, we deal with the task of person identification by fusing information from motion sensor platforms, like smart phones, carried on human bodies and extracted from camera video. More specifically, a sequence of motion features extracted from camera video are compared with each of those collected from accelerometers of smart phones. When strong correlation is detected, identity information transmitted from the corresponding smart phone is used to identify the phone wearer. To test the feasibility and efficiency of the proposed method, extensive experiments are conducted which achieved impressive performance.

India Goes Digital..Smartphone is the New Shopping Destination

2018 ◽  
Vol 6 (8) ◽  
pp. 289
Author(s):  
Shankar Chaudhary
Keyword(s):  
Online Shopping ◽  
Mobile Apps ◽  
Smart Phone ◽  
Mobile Commerce ◽  
Mobile App ◽  
Smart Phones ◽  
The Internet ◽  
The World ◽  
Shopping Experience ◽  
User Friendly

Despite being in nascent stage m-commerce is gaining momentum in India. The explosive growth of smart-phone users has made India much loved business destination for whole world. Indian internet user is becoming the second largest in the world next to China surpassing US, which throws open plenty of e-commerce opportunities, not only for Indian players, offshore players as well. Mobile commerce is likely to overtake e-commerce in the next few years, spurred by the continued uptrend in online shopping and increasing use of mobile apps.The optimism comes from the fact that people accessing the Internet through their mobiles had jumped 33 per cent in 2014 to 173 million and is expected to grow 21 per cent year-on-year till 2019 to touch 457 million. e-Commerce brands are eyeing on the mobile app segment by developing user-friendly and secure mobile apps offering a risk-free and easy shopping experience to its users. Budget 4G smart phones coupled with affordable plans, can very well drive 4G growth in India.

scholarly journals Phone-Based Restaurant Recommendation System by Using Position Information and Association Rules

2012 ◽  
Vol 6-7 ◽  
pp. 783-789
Author(s):  
Jian Feng Dong ◽  
Tian Yang Dong ◽  
Jia Jie Yao ◽  
Ling Zhang
Keyword(s):  
Mobile Phone ◽  
Real Time ◽  
Association Rules ◽  
Recommendation System ◽  
Rapid Development ◽  
Smart Phone ◽  
Smart Phones ◽  
Location Information ◽  
Position Information ◽  
The Real

With the rapid development of smart-phone applications, how to make the ordering process via smart-phones more convenient and intelligent has become a hotspot. This paper puts forward a method of restaurant dish recommendation relying on position information and association rules. In addition, this paper has designed and developed a restaurant recommendation system based on mobile phone. The system would fetch the real-time location information via smart-phones, and provide customers personalized restaurant and dish recommendation service. According to the related applications, this system can successfully recommend the related restaurants and food information to customers.

Implementation of Smart Home System Based on Internet of Things

2013 ◽  
Vol 475-476 ◽  
pp. 1150-1153 ◽  
Author(s):  
Yan Zeng Gao ◽  
Ling Yan Wei
Keyword(s):  
Internet Of Things ◽  
Embedded System ◽  
Smart Home ◽  
Smart Phone ◽  
Cloud Service ◽  
Control Center ◽  
Cloud Server ◽  
Novel Method ◽  
Smart Phone Application

Smart home can apply new internet of things concepts along cloud service technologies. This paper introduces a novel method for smart home system building. The system is driven by use case and it is composed of home control center, zigbee end devices, smart phone applications and cloud server. The home control center is based on arm-linux embedded system, it is the relay of cloud server and home devices. Wireless network of smart home devices was designed according to zigbee. A smart phone application was developed as the role of the user interface.

Women Safety Application Designed for Smart Phones to Enable Protection and Security Services

2020 ◽  
Vol 17 (12) ◽  
pp. 5358-5363
Author(s):  
K. Nimala ◽  
M. Sangeetha ◽  
D. Saveetha
Keyword(s):  
Physical Abuse ◽  
Real Life ◽  
Smart Phone ◽  
User Interaction ◽  
Smart Phones ◽  
Equal Rights ◽  
Men And Women ◽  
Personal Security ◽  
Security Services ◽  
Safety Application

In India we live in a society where men and women have equal rights but as far as it goes these don’t hold up in real life scenarios and practical situations for women. Despite having all these laws and regulations to protect the rights of a woman, they still face problems. Women have grown powerful and are conquering our world’s greatest positions/frontiers but they face issues with our society’s narrow-minded behavior. Every third woman faces physical abuse/harassment in this world. Women Safety is a matter of concern and a smart phone can be used efficiently for personal security and other protection purposes. The existing apps need the user to interact with the interface and follow a sequence of steps to make them work. We are going to solve it by eliminating the user interaction with the app by providing an instant solution.

scholarly journals The implementation of fisher yates shuffle on aljabar learning media based on hybrid application

2018 ◽  
Vol 197 ◽  
pp. 01006 ◽  
Author(s):  
Iyon Maryono ◽  
Wildan Budiawan Zulfikar ◽  
Rahayu Kariadinata
Keyword(s):  
School Environment ◽  
Smart Phone ◽  
Smart Phones ◽  
Training Module ◽  
Application Technology ◽  
Screen Size ◽  
Different Types ◽  
Unified Process

Learning media are widely circulated in the school environment, especially Madrasah Tsanawiyah is a native-shaped media for a particular type of smart phone. There is a problem if there are learners who use different types of smart phones of different types of OS, brand, type, and screen size. This work proposed a hybrid application technology to design the learning media so that it can be accessed by various types of smart phones. Rational Unified Process (RUP) implementing as the main framework. The Fisher Yates Shuffle algorithm applied to the training module and exam to display the sequence of questions and random answer options.

Consumer Perception and Purchase Intention Towards Refurbished Smart Phones

2021 ◽  
pp. 270-284
Author(s):  
Nishant Kumar ◽  
Divya Mohan
Keyword(s):  
Perceived Risk ◽  
Purchase Intention ◽  
Financial Risk ◽  
Smart Phone ◽  
Smart Phones ◽  
Environmental Benefits ◽  
Research Approach ◽  
Circular System ◽  
Cost Of Materials ◽  
Key Aspects

Circular economy is a global economic model that focuses to transform linear consumption in a circular system by minimizing waste and preserving the cost of materials. Refurbishment can be useful to recover value from old products and to minimize waste. Based on the insights from literature, a deductive research approach has been used to examine consumer understanding about refurbished smart phone and their purchase intention. A survey based on barriers, perceived risk, and benefits associated with refurbished phones was conducted. Multiple analyses of variance were employed to identify the effect of demographic parameters on refurbishing dimensions. Multiple regression was used to identify prominent predictors in determining purchase intention towards refurbished products. The study demonstrates a fine level of awareness among people about refurbished phone, and they link it to environmental benefits. A major concern among consumers was performance issue and financial risk involved in purchasing refurbished smart phones. Financial benefits are key aspects behind promoting refurbished.

Augmented Reality Advertisements in Tourism Marketing

2015 ◽  
pp. 125-146
Author(s):  
Evrim Celtek
Keyword(s):  
Augmented Reality ◽  
Mobile Applications ◽  
Smart Phone ◽  
Tourism Industry ◽  
Smart Phones ◽  
Customer Engagement ◽  
Tourism Marketing ◽  
Digital World ◽  
History Of ◽  
Marketing Tool

The rapid growth in the use of smart phones and respective mobile applications has created new ways for the tourism industry to market the services to customers. The growing use of smart phones is driving the mobile applications market to be one of the fastest growing media outlets in the history of consumer technology. Augmented reality, or AR, has become one of the new advertising and marketing tool. Many brands use AR to attract customers and to increase customer engagement. AR allows smart phone and tablet computer users to point their phone or tablet cameras at certain objects—be they print advertisement or even coffee cups—that trigger a 3D video. Augmented reality gives businesses opportunity to unexpectedly integrate the digital world with the real world. This chapter presents the profile of AR applications and AR advertisements in the tourism industry.

MapExif

2015 ◽  
Vol 7 (2) ◽  
pp. 53-78 ◽  
Author(s):  
Lionel Prat ◽  
Cheryl Baker ◽  
Nhien An Le-Khac
Keyword(s):  
Smart Phone ◽  
Criminal Activity ◽  
Computer Forensics ◽  
Smart Phones ◽  
Gps Receiver ◽  
Mapping Tool ◽  
Real World Application ◽  
Wide Range ◽  
Forensic Tools ◽  
Almost All

Recently, the integration of geographical coordinates into a picture has become more and more popular. Indeed almost all smartphones and many cameras today have a built-in GPS receiver that stores the location information in the Exif header when a picture is taken. Although the automatic embedding of geotags in pictures is often ignored by smart phone users as it can lead to endless discussions about privacy implications, these geotags could be really useful for investigators in analysing criminal activity. Currently, there are many free tools as well as commercial tools available in the market that can help computer forensics investigators to cover a wide range of geographic information related to criminal scenes or activities. However, there are not specific forensic tools available to deal with the geolocation of pictures taken by smart phones or cameras. In this paper, an image scanning and mapping tool for investigators is proposed and developed. This tool scans all the files in a given directory and then displays particular photos based on optional filters (date/time/device/localisation…) on Google Map. The file scanning process is not based on the file extension but its header. This tool can also show efficiently to users if there is more than one image on the map with the same GPS coordinates, or even if there are images with no GPS coordinates taken by the same device in the same timeline. Moreover, this new tool is portable; investigators can run it on any operating system without any installation. Another useful feature is to be able to work in a read-only environment, so that forensic results will not be modified. This tool's real-world application is also presented and evaluated in this paper.

Arabic Braille Touch Keyboard for Android Users

2014 ◽  
Vol 5 (2) ◽  
pp. 54-71 ◽  
Author(s):  
Nabil Hewahi ◽  
Ghadeer Abu-Shaban ◽  
Esraa El-Ashqer ◽  
Ayat Abu-Noqaira ◽  
Nour El-Wadiya
Keyword(s):  
Visually Impaired ◽  
Smart Phone ◽  
Touch Screen ◽  
Arabic Language ◽  
Tactile Feedback ◽  
Smart Phones ◽  
Special Equipment ◽  
Visually Impaired People ◽  
Impaired People ◽  
Touch Screen Devices

As smart phones appeared with their elegant, easy and exciting touch functionality, the use of touch screen devices has been spreading very fast. Beside the previous advantages, smart phones addresses some new challenges for people with disabilities. Most of visually impaired people don't prefer using touch-screen devices, as these lack the tactile feedback and are visually demanding. However, there have been some solutions to come over these problems, but they were not enough. Some of these solutions is to connect a special equipment to a smart phone to allow the visually impaired user to enter the required input. Other applications help visually impaired people to use the smart phones and read whatever on the screen by hovering their finger tips on the text. Visually impaired people who use smart phones have to memorize QWERTY keyboard which have a large number of targets with small locations specified for each target which will lead to a high proportion of error occurrence. In this paper, the authors propose ABTKA- Arabic Braille Touch Keyboard for Android Users. This application is the first application for Arabic language that uses Braille language for visually impaired who are using smart phones or intended to do so. ABTKA facilitates text-entry functionality by supporting Braille writing on touch screens. The used approach in the proposed system can be easily adapted to other languages. The main advantages of the used approach are that it does not need any extra equipment to be connected to the smart phone; it is dynamic (no fixed positions for the touch points), simple to use, one entry for each character, supported by voice and respond promptly to the input. ABTKA involves various algorithms to achieve its objectives. It starts with entering the user standard locations of finger tips, then the user can enter any Braille character which has to be reindexed to be in the same order of Perkins Brailler's buttons. Any inserted character is converted to Arabic character. Any converted character will have a voice feedback. Words and full sentences will also have voice feedback. ABTKA has been tested by various visually impaired people and proved that it is easy to learn and simple to use.

scholarly journals To Find Where You Talk: Temporal Sentence Localization in Video with Attention Based Location Regression

2019 ◽  
Vol 33 ◽  
pp. 9159-9166 ◽  
Author(s):  
Yitian Yuan ◽  
Tao Mei ◽  
Wenwu Zhu
Keyword(s):  
Video Sequence ◽  
Temporal Structure ◽  
Research Community ◽  
Location Prediction ◽  
Video Content ◽  
Global Context ◽  
Effectiveness And Efficiency ◽  
Public Datasets ◽  
Temporal Localization ◽  
Informative Text

We have witnessed the tremendous growth of videos over the Internet, where most of these videos are typically paired with abundant sentence descriptions, such as video titles, captions and comments. Therefore, it has been increasingly crucial to associate specific video segments with the corresponding informative text descriptions, for a deeper understanding of video content. This motivates us to explore an overlooked problem in the research community — temporal sentence localization in video, which aims to automatically determine the start and end points of a given sentence within a paired video. For solving this problem, we face three critical challenges: (1) preserving the intrinsic temporal structure and global context of video to locate accurate positions over the entire video sequence; (2) fully exploring the sentence semantics to give clear guidance for localization; (3) ensuring the efficiency of the localization method to adapt to long videos. To address these issues, we propose a novel Attention Based Location Regression (ABLR) approach to localize sentence descriptions in videos in an efficient end-to-end manner. Specifically, to preserve the context information, ABLR first encodes both video and sentence via Bi-directional LSTM networks. Then, a multi-modal co-attention mechanism is presented to generate both video and sentence attentions. The former reflects the global video structure, while the latter highlights the sentence details for temporal localization. Finally, a novel attention based location prediction network is designed to regress the temporal coordinates of sentence from the previous attentions. We evaluate the proposed ABLR approach on two public datasets ActivityNet Captions and TACoS. Experimental results show that ABLR significantly outperforms the existing approaches in both effectiveness and efficiency.

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