Mobile phones for development

OCR for Mobile Phones

Lighting, camera resolution and focus, skew (shear), and processing power all contribute to the difficulties in developing effective OCR applications using mobile phones. We propose a novel algorithm using PCA, divergence, and a global neural network to develop an OCR package that levers user-specific parameters with a neural network trained on an extended data set.

Mobile Phones as Mediating Tools within Augmented Contexts for Development

This paper argues for the need to re-examine approaches to the design of, and research into, learning experiences that incorporate mobile phones in the learning context. Following an overview of ‘mobile learning’ the author’s argument describes two initiatives: Firstly, Design Research is presented as an approach that tends to have interventionist characteristics, and is process-oriented and co...

Multi-core for mobile phones

Muon Trigger for Mobile Phones

The CRAYFIS experiment proposes to use privately owned mobile phones as a ground detector array for Ultra High Energy Cosmic Rays. Upon interacting with Earth’s atmosphere, these events produce extensive particle showers which can be detected by cameras on mobile phones. A typical shower contains minimally-ionizing particles such as muons. As these particles interact with CMOS image sensors, th...

Group Profiling for Mobile Phones

With the increasing complexity of the latest mobile phones, there are users who appreciate the return of simple phones and easy-to-use menu’s. In this paper we search for user preferences and user similarities that can be used to form user groups. With each user group comes a group profile which can be selected on any mobile phone. These group profiles are customized interfaces and presets on t...