User biometric information-based secure method for smart devices

2017 ◽  
Vol 30 (3) ◽  
pp. e4150 ◽  
Author(s):  
Xin Su ◽  
Bingying Wang ◽  
Xuewu Zhang ◽  
Yupeng Wang ◽  
Dongmin Choi
Keyword(s):  
Smart Devices ◽  
Biometric Information

Use of Hand Biometric Information in Gender Identification

2016 ◽  
Vol 60 (1) ◽  
pp. 851-854
Author(s):  
Soo-Chan Jee ◽  
Ye Lim Rhie ◽  
Minjee Kim ◽  
Yong Min Kim ◽  
Sung Hee Ahn ◽  
...  
Keyword(s):  
Smart Devices ◽  
Body Parts ◽  
Demographic Information ◽  
Biometric Data ◽  
Hand Muscles ◽  
Lower Accuracy ◽  
Males And Females ◽  
Gender Based ◽  
Hand Length ◽  
Biometric Information

These days, mobile devices are expected to act as biometric readers due to their increasing number of sensors. However, few studies have suggested a method to identify the user’s demographic profile by collecting biometric information through smart devices, whereas demographic characteristics are an important factor that determines the overall preferences of the interface and content. Therefore, this paper suggests a method to identify the user’s gender based on the biometric information of users. Since the hand is one of the most frequently used body parts in touch interfaces, four hand dimensions and the EMG activities of four hand muscles were measured. The hand length, hand breadth, hand thickness, and hand circumference of 321 Koreans were collected as hand dimensions, and the EMG activities of 27 participants when using mock-ups of mobile phones were observed. As a result of discriminant analysis, hand dimensions could predict males and females with over 75% accuracy, while %MVC showed relatively lower accuracy. The results revealed that simple hand dimensions are a more efficient method to recognize the gender of users. In a further study, other biometric data could be utilized in sensing various types of demographic information considering that identification technologies are growing fast.

scholarly journals Constructing RBAC Based Security Model in u-Healthcare Service Platform

2015 ◽  
Vol 2015 ◽  
pp. 1-13 ◽  
Author(s):  
Moon Sun Shin ◽  
Heung Seok Jeon ◽  
Yong Wan Ju ◽  
Bum Ju Lee ◽  
Seon-Phil Jeong
Keyword(s):  
Information Acquisition ◽  
Healthcare Service ◽  
Security Requirements ◽  
Smart Devices ◽  
Personal Health ◽  
Security Model ◽  
It Convergence ◽  
Integration Platform ◽  
Security Models ◽  
Biometric Information

In today’s era of aging society, people want to handle personal health care by themselves in everyday life. In particular, the evolution of medical and IT convergence technology and mobile smart devices has made it possible for people to gather information on their health status anytime and anywhere easily using biometric information acquisition devices. Healthcare information systems can contribute to the improvement of the nation’s healthcare quality and the reduction of related cost. However, there are no perfect security models or mechanisms for healthcare service applications, and privacy information can therefore be leaked. In this paper, we examine security requirements related to privacy protection in u-healthcare service and propose an extended RBAC based security model. We propose and design u-healthcare service integration platform (u-HCSIP) applying RBAC security model. The proposed u-HCSIP performs four main functions: storing and exchanging personal health records (PHR), recommending meals and exercise, buying/selling private health information or experience, and managing personal health data using smart devices.

A Review on Big Data Analytics in Business

2018 ◽  
pp. 210-214
Author(s):  
Manbir Sandhu ◽  
Purnima, Anuradha Saini
Keyword(s):  
Big Data ◽  
Big Data Analytics ◽  
Smart Devices ◽  
Data Streaming ◽  
Huge Amount ◽  
Business Units ◽  
Enormous Amount ◽  
Tools And Techniques ◽  
Heath Care ◽  
Data Analytic

Big data is a fast-growing technology that has the scope to mine huge amount of data to be used in various analytic applications. With large amount of data streaming in from a myriad of sources: social media, online transactions and ubiquity of smart devices, Big Data is practically garnering attention across all stakeholders from academics, banking, government, heath care, manufacturing and retail. Big Data refers to an enormous amount of data generated from disparate sources along with data analytic techniques to examine this voluminous data for predictive trends and patterns, to exploit new growth opportunities, to gain insight, to make informed decisions and optimize processes. Data-driven decision making is the essence of business establishments. The explosive growth of data is steering the business units to tap the potential of Big Data to achieve fueling growth and to achieve a cutting edge over their competitors. The overwhelming generation of data brings with it, its share of concerns. This paper discusses the concept of Big Data, its characteristics, the tools and techniques deployed by organizations to harness the power of Big Data and the daunting issues that hinder the adoption of Business Intelligence in Big Data strategies in organizations.

Improving Self-Consumption of Green Energy Using Linear Programming for Reactive Control of Smart Devices

Informatica ◽  
2018 ◽  
Vol 29 (2) ◽  
pp. 187-210
Author(s):  
Alba Amato ◽  
Marco Scialdone ◽  
Salvatore Venticinque
Keyword(s):  
Linear Programming ◽  
Green Energy ◽  
Smart Devices ◽  
Reactive Control

Exploring Extended Adoption of Associated Smart Devices on the Digital Platform : The Mediating Role of Inertia

2014 ◽  
Vol 15 (6) ◽  
pp. 231-253
Author(s):  
이보경 ◽  
Young Sik Kang ◽  
윤시몬
Keyword(s):  
Smart Devices ◽  
Digital Platform ◽  
Mediating Role

Ambient Assisted Living Systems: The Scope of Research and Development

2017 ◽  
Vol 3 (2) ◽  
pp. 21
Author(s):  
Ashish D Patel ◽  
Jigarkumar H. Shah
Keyword(s):  
Assisted Living ◽  
Independent Living ◽  
Intelligent Systems ◽  
New Technologies ◽  
Ambient Assisted Living ◽  
Smart Devices ◽  
Economic Changes ◽  
Aged Population ◽  
The People ◽  
Living Person

The aged population of the world is increasing by a large factor due to the availability of medical and other facilities. As the number grows rapidly, requirements of this segment of age (65+) are increasing rapidly as well as the percentage of aged persons living alone is also increasing with the same rate due to the inevitable socio-economic changes. This situation demands the solution of many problems like loneliness, chronic conditions, social interaction, transportation, day-to-day life and many more for independent living person. A large part of aged population may not be able to interact directly with new technologies. This sought some serious development towards the use of intelligent systems i.e. smart devices which helps the people with their inability to use the available as well future solutions. Ambient Assisted Living (AAL) is the answer to these problems. In this paper, issues related to AAL systems are studied. Study of challenges and limitations of this comparatively new field will help the designers to remove the barriers of AAL systems.

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