Adaptive interface design: a symmetric model and a knowledge-based implementation

Author(s):  
Sherman W. Tyler ◽  
Siegfried Treu
Author(s):  
Claas Ahlrichs ◽  
Hendrik Iben ◽  
Michael Lawo

In this chapter, recent research on context-aware mobile and wearable computing is described. Starting from the observation of recent developments on Smartphones and research done in wearable computing, the focus is on possibilities to unobtrusively support the use of mobile and wearable devices. There is the observation that size and form matters when dealing with these devices; multimodality concerning input and output is important and context information can be used to satisfy the requirement of unobtrusiveness. Here, Frameworks as middleware are a means to an end. Starting with an introduction on wearable computing, recent developments of Frameworks for context-aware user interface design are presented, motivating the need for future research on knowledge-based intuitive interaction design.


2016 ◽  
Vol 78 (7-5) ◽  
Author(s):  
Kui Lin Kam ◽  
Tze Weng Ow ◽  
Wan Yong Chia ◽  
Rabia Bakhteri ◽  
Norhafizah Ramli ◽  
...  

Arrhythmia is an irregular heartbeat where the blood may not be delivered effectively throughout the body and cause sudden cardiac arrest (SCA). Immediate treatment is required to prevent SCA. However, most of the existing electrocardiogram (ECG) monitoring devices are bulky, cost expensive and lack arrhythmia detection and classification system. This paper proposes a front-end on-board graphical interface design of System-on-Chip (SoC) based arrhythmia detector which can be used as a first screening device for cardiac disease patient. The system consists of a knowledge-based arrhythmia classifier which is able to identify three types of arrhythmias which are ventricular fibrillation (VF), premature ventricular contractions (PVCs) and second-degree atrioventricular (AV) block. The system has been evaluated and benchmarked with ECG data from MIT-BIH arrhythmia database. The results show that its accuracy is up to 99.25% with a computation time of 6.385 seconds. It is highly portable and relatively inexpensive for installation in small clinics and home monitoring.  


2007 ◽  
Vol 70 (4) ◽  
pp. 1540-1550 ◽  
Author(s):  
Louis A. Clark ◽  
Herman W. T. van Vlijmen

Author(s):  
Ashmean Kaur Sran ◽  
Sherrie Yi Komiak ◽  
Sabir Manzoor

Efficiency in farming productivity and optimum utilization of resources in the agriculture sector in developing countries is a challenge that can be addressed with technological advancement. There is also a strong need to work on the farming community’s engagement to make better farming decisions. This study aims to create an expert knowledge-based system (KBS) in a mobile application to help Indian farmers improve their agricultural practices and increase crop productivity. A prototype mobile application, ‘Farm-n-Pedia,’ is designed and used to fulfill the farmers’ informational and engagement needs. It provides a tool for agriculture management using a single platform. The expert KBS incorporates a crowdsourcing system as part of the knowledge base and interface design. The mobile application enables the users to access the worldwide information they want, get personalized expert guidance, interact with the local agrarian community, know about the latest farming techniques and technology, crowdsource data collection and increase agricultural productivity.


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