Subscription with
Open Access Option
submit CrossRef Open Access Subscribe New Journal Ideal

Click on image to enlarge

Indexed in Scopus

Journal of Mobile Multimedia

Editor-in-Chief: Kwang-Cheng Chen, University of South Florida, USA


ISSN: 1550-4646 (Print Version),

ISSN: 1550-4654 (Online Version)
Vol: 9   Issue: Combined Issue 1 & 2

Published In:   November 2013

Publication Frequency: Quarterly


Search Available Volume and Issue for Journal of Mobile Multimedia


Journal Description        Read Full Articles        Editorial Board        Subscription        Indexed

A Wearable Sensor based Approach to Real-Time Fall Detection and Fine-Grained Activity Recognition


Cuong Pham1,2, Nguyen Ngoc Diep1 and Tu Minh Phuong1

1Department of Computer Science, Posts & Telecommunications Institute of Technology, Hanoi, Vietnam
2Affiliation: Culture Lab, Newcastle University, Newcastle upon Tyne, NE17RU, UK

Abstract: [+]    |    Download File [ 165KB ]

Abstract: We present a real-time fall detection and activity recognition system that is inexpensive and can be easily deployed using two Wii Remotes worn on human body. Continuously 3-dimentional data streams are segmented into sliding windows and then pre-processed for removing signal noises and filling missing samples. Features including Mean, Standard deviation, Energy, Entropy, Correlation between acceleration axes extracted from sliding windows are trained the activity models. The trained models are then used for detecting falls and recognizing 13 fine-grained activities including unknown activities in real-time. An experiment on 12 subjects was conducted to rigorously evaluate the system performance. With the recognition rates as high as 95% precision and recall for user dependent isolation training, 91% precision and recall for 10-fold cross validation and as high as 82% precision and recall for leave one subject out evaluations, the results demonstrated that the development of real-time, easyto- deploy fall detection and activity recognition systems using low-cost sensors is feasible.

Keywords: Activity recognition, fall detection, wearable sensors

Experimental Results of a MANET Testbed for Different Settings of HELLO Packets of OLSR Protocol


Masahiro Hiyama1, Shinji Sakamoto1, Elis Kulla1, Makoto Ikeda2 and Leonard Barolli2

1Graduate School of Engineering, Fukuoka Institute of Technology, 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan
2Department of Information and Communication Engineering Fukuoka Institute of Technology 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan

Abstract: [+]    |    Download File [ 567KB ]

Abstract: In Mobile Ad-hoc Networks (MANETs) the mobile terminals can be used in cooperation with each other, without having to depend on the network infrastructure. Recently, these terminals are low-cost, have high-performance and are mobile. Because the terminals are mobile, the routes change dynamically, so routing algorithms are important for operation of MANETs. In this paper, we investigate the behaviour of OLSR routing protocol for different values of HELLO sending interval and validity time. We conduct real experiments in a MANET testbed. We design and implement two experimental scenarios in our academic environment and investigate their performance behaviour for different number of hops.

Keywords: MANET; DITG; OLSR; HELLO; Send Interval; Validity Time; Testbed; Throughput; Indoor and Outdoor Environment

Recognizing Landscapes: Can We Change the Point of View of Geographic Data?


Luigi Barazzetti1, Raffaella Brumana1, Daniela Oreni1 and Fabio Roncoroni2

Politecnico di Milano, Department of Architecture, Built Environment and Construction Engineering Milan, Italy
Politecnico di Milano, Polo Territoriale di Lecco, Lecco, Italy

Abstract: [+]    |    Download File [ 925KB ]

Abstract: This paper presents a methodology able to handle georeferenced panoramas (GeoPans) projected on 3D models for the integration of landscapes into digital environments. This is not a simple task because the typical visualization (say vertical point of view) through geographic data and GIS software does not fulfil a fundamental request: the virtual reproduction of the human eye at head height. This means that a transition from aerial images to ground (terrestrial) data is mandatory. In addition, an improvement of SDI able to generate innovative typologies of representation is needed. In this work a methodological approach aimed at rediscovering and correlating 3D reconstructions of landscapes with the typical human vision is illustrated. This contribution investigates the potential of panoramic view reconstruction and simulation from images acquired by RC/UAV and by multi-sensor terrestrial platforms (photoGPS) along with existing cartographic data. The main aim is the generation of multiple visual models able to simulate real scenarios at head height (or low altitude above ground). Examples and case studies are illustrated and discussed to prove the complexity of the problem, which requires not only new algorithms and procedures for data acquisition and processing, but also a modification of the traditional 2.5D representation of geographic data.

Keywords: historical map, landscape, panorama, SDI, spatial data, UAV

Energy-Aware Passive Replication of Processes


Dilawaer Duolikun1, Ailixier Aikebaier2, Tomoya Enokido3 and Makoto Takizawa1

1Department of Advanced Sciences, Hosei University, 3-7-2, Kajino-machi, Koganei-shi Tokyo 184-8584, Japan
2National Institute of Information and Communications Technology, 4-2-1, Nukui-Kitamachi, Koganei Tokyo 184-8795, Japan
3Faculty of Bussiness Administration, , Rissho University , 4-2-16, Osaki, Shinagawa

Abstract: [+]    |    Download File [ 306KB ]

Abstract: In information systems, processes requested by clients have to be performed on servers so that not only QoS (quality of service) requirements like response time are satisfied but also the total electric power consumed by servers to perform processes has to be reduced. Furthermore, each process has to be reliably performed in the presence of server faults. In our approach to reliably performing processes, each process is redundantly performed on multiple servers. The more number of servers a process is performed on, the more reliably the process can be performed but the more amount of electric power is consumed by the servers. Hence, it is critical to discuss how to reliably and energy-efficiently perform processes on multiple servers. In this paper, we discuss how to reduce the total electric power consumed by servers in a cluster where each request process is passively replicated on multiple servers. Here, a process is performed on only one primary server while taking checkpoints and sending the checkpoints to secondary servers. If the primary server is faulty, one of the secondary servers takes over the faulty primary server and the process is performed from the check point on the new primary server. We evaluate the energy- aware passive replication scheme of a process in terms of total power consumption and average execution time and response time of each process in presence of server fault.

Keywords: Energy-aware server cluster; Fault-tolerant server cluster; Process replication; Energy-aware passive replication (EPR); Digital ecosystems;

Thermographic Analysis from UAV Platforms for Energy Efficiency Retrofit Applications


Mattia Previtali1, Luigi Barazzetti1, Raffaella Brumana1 and Fabio Roncoroni2

1Politecnico di Milano, Department of Architecture, Built Environment and Construction Engineering Milan, Italy
2Politecnico di Milano, Polo Territoriale di Lecco, Lecco

Abstract: [+]    |    Download File [ 1060KB ]

Abstract: Thermal efficiency of building is a fundamental aspect in different countries to reach energy consumption reduction. However, even if a great attention is paid to build new “zero-energy” buildings, low attention is paid to retrofit existing ones. A fast analysis of existing buildings with Infrared Thermography (IRT) has proved to be an adequate and efficient technique. Indeed, IRT can be used to determine energy efficiency and to detect defects like thermal bridges and heat losses. However, both surface temperature and geometry are needed for a reliable evaluation of thermal efficiency, where spatial relationships are important to localize thermal defects and quantify the affected surfaces. For this reason, integration between Building Information Models (BIMs) and Infrared Thermography (IRT) can be a powerful tool to combine geometric information with thermal data in the same model. In this paper a methodology for automated generation of 3D model of buildings from laser data and integration with thermal images is presented. The developed methodology allows also fusion of thermal data acquired from different cameras and platforms. In particular, this paper will focus on thermal images acquired by an Unmanned Aerial Vehicle (UAV). The proposed methodology is suitable for fast building inspections aimed at detecting the thermal anomalies in a construction. Its applicability was tested on different buildings demonstrating the performance of the procedure and its valid support in thermal surveys.

Keywords: Building models, infrared imaging, image processing, laser scanning, retrofitting

Interactive Mesh Deformation in Multiresolution through Augmented Reality


Renan A. Dembogurski1, Rodrigo Luis De Souza Da Silva1, Marcelo Bernardes Vieira1 and Bruno J. Dembogurski2

1Department of Computer Science, Universidade Federal de Juiz de Fora (UFJF) DCC/ICE, R. Loureno Kelmer, 36036-330, Juiz de Fora, MG, Brazil
2Computer Institute - IC, Universidade Federal Fluminense (UFF) - IC/UFF Rua Passo da Ptria 156 - Bloco E, 24210-240, Niteri, RJ, Brazil

Abstract: [+]    |    Download File [ 4800KB ]

Abstract: This work presents a method that allows the deformation of a terrain by modifying its heightmap in an augmented reality environment. The hierarchical structure of A4- 8 meshes was used to represent terrains. This structure de.nes a parameter space to calculate the coordinates of a .eld in the R3 Euclidean space. In particular, this paper deals with the problem of modeling spherical terrains. An error metric dependent on the observer and the geometry of the land used for its observation and modeling. The results demonstrate that the use of A4-8 mesh combined with the tangible augmented reality system is exible to shape spherical terrains and can be easily modi.ed to deal with other topologies, such as the torus and the cylinder. The development of an e.cient and intuitive to use method for mesh generation, based on augmented reality markers, is the main contribution of this work.

Keywords: Augmented Reality, Mesh Deformation, Terrain Generation, Parametrization

A Comparison Study of Simulated Annealing and Genetic Algorithm for Node Placement Problem in Wireless Mesh Networks


Shinji Sakamoto, Elis Kulla, Tetsuya Oda, Makoto Ikeda, Leonard Barolli, and Fatos Xhafa

1Graduate School of Engineering, Fukuoka Institute of Technology (FIT) 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan
2Department of Information and Communication Engineering Fukuoka Institute of Technology (FIT) 3-30-1 Wajiro-Higashi, Higashi-Ku, Fukuoka 811-0295, Japan
3Technical University of Catalonia Department of Languages and Informatics Systems C/Jordi Girona 1-3, 08034 Barcelona, Spain

Abstract: [+]    |    Download File [ 1613KB ]

Abstract: One of the key advantages of Wireless Mesh Networks (WMNs) is their importance for providing cost-efficient broadband connectivity. There are issues for achieving the net- work connectivity and user coverage, which are related with the node placement problem. In this work, we compare Simulated Annealing (SA) and Genetic Algorithm (GA) by simulations for node placement problem. We want to find the optimal distribution of router nodes in order to provide the best network connectivity and user coverage in a set of randomly distributed clients. From the simulation results, both algorithms converge to the maximum size of GC. However, according to the number of covered mesh clients SA converges faster.

Keywords: Simulated Annealing, Genetic Algorithm, WMN, Node Placement Problem

Using the Dual-Level Modeling Approach to Developing Applications in the Pervasive Healthcare Environment


Joao L. Cardoso de Moraes1, Wanderley Lopes de Souza1, Luis Ferreira Pires2, Luciana Tricai Cavalini3 and Antonio Francisco do Prado1

1Federal University of São Carlos, Computer Science, São Carlos, Brazil
2University of Twente, Software Engineering Group, Enschede, The Netherlands
3Rio de Janeiro State University, Department of Health Information Technology, Brazil

Abstract: [+]    |    Download File [ 1036KB ]

Abstract: Health information technology is the area of IT involving the design, development, creation, use and maintenance of information systems for the healthcare industry. Automated and interoperable healthcare information systems are expected to lower costs, improve efficiency and reduce error, while also providing better consumer care and service. Pervasive Healthcare focuses on the use of new technologies, tools, and services, to help patients play a more active role in the treatment of their conditions. Pervasive Healthcare environments demand a huge amount of information exchange, and specific technologies have been proposed to provide interoperability between the systems that comprise such environments. However, the complexity of these technologies makes it difficult to fully adopt them and to migrate Centered Healthcare Environments to Pervasive Healthcare Environments. Therefore, this paper proposes an approach to develop applications in the Pervasive Healthcare environment, through the use of dual-level modeling based on Archetypes. This approach was demonstrated and evaluated in a controlled experiment that we conducted in the cardiology department of a hospital located in the city of Marília (São Paulo, Brazil). An application was developed to evaluate this approach, and the results showed that the approach is suitable for facilitating the development of healthcare systems by offering generic and powerful capabilities.

Keywords: Pervasive Healthcare, Ubiquitous Computing, openEHR, Dual-level Modeling, Archetypes, Domain-Specific Language

A Hidden Markov Model for Detection & Classification of Arm Action in Cricket Using Wearable Sensors


Saad Qaisar1, Sahar Imtiaz1, Fatma Faruq1, Amna Jamal1, Wafa Iqbal1, Paul Glazier2 and Sungyoung Lee3

1School of Electrical Engineering & Computer Science, National University of Sciences & Technology, Islamabad, Pakistan
2Institute of Sport, Exercise & Active Living, Victoria University, Footscray Park Campus, Melbourne, VIC 8801, Australia
3Kyung Hee University, Korea

Abstract: [+]    |    Download File [ 551KB ]

Abstract: Hidden Markov Models (HMM) have been used for to accurately model, detect and classify key phenomenon. In this manuscript, we propose use of HMM for detection and classification of arm action in the game of cricket. The technique uses sensor data gathered from wearable sensors placed at wrist, elbow and shoulder. The sensor data consists of both displacement and rotational information collected through a combination of accelerometer and gyroscope placed at each joint. A Bluetooth transceiver is attached to the arm in order to wirelessly transfer the gathered data to the base station. A K-means clustering algorithm classifies the current position and angular rotation of the joint for each of the sensor placements. A Markov chain then determines the chain of sequence for a set of joint movements (displacement and angular rotation) to classify it as a specific arm motion. A Hidden Markov Model determines the previous state of arm motion in order to classify the current state and hence, the current action since the movements happen in progression, when following the other. Experiments show an accuracy of up to 100% in correctly determining the arm action against a model built around a trace-set collected from a sports biomechanics expert. The proposed model has applications in cricket coaching and technique adaptation both for novice and trained players.

Keywords: Hidden Markov Model, Cricket, Action Classification

A Mobile Application for Robust Feature Extraction and Cultivar Classification of Leaves


Dominik L. Michels and Gerrit A. Sobottka

Multimedia, Simulation and Virtual Reality Group University of Bonn, Germany

Abstract: [+]    |    Download File [ 4463KB ]

Abstract: We illustrate the development of an application for cultivar classification of leaf images based on the extraction of the network of its main veins that runs on mobile devices like smart phones or tablets. Such mobile devices can be docked to farming robots in order to support the farming process. Our application uses an efficient Gabor filter-based tracing algorithm which is able to perform a robust network extraction. The results are used as input data for the classification with a support vector machine. In order to demonstrate the advantageous behavior and the robustness of this method, we perform an evaluation on a test set consisting of 150 light transmitted images of different vine leaves.

Keywords: Mobile Application, Leaf Classification, Feature-Based Classification, Feature Extraction, Gabor Filter, Edge Tracing, Support Vector Machines

A Visualization System for Mobile Ad-hoc Networks


Akio Koyam1, Shohei Sato1, Leonard Barolli2 and Makoto Takiz3

1Yamagata University, Japan
2Fukuoka Institute of Technology, Japan
3Hosei University, Japan

Abstract: [+]    |    Download File [ 572KB ]

Abstract: Mobile ad-hoc networks (MANETs) are autonomous distributed networks, where mobile nodes communicate with each other using wireless links. Since the communication is done by wireless links, it is difficult to grasp the network situation. It becomes even more difficult when the number of nodes is increased. In this paper, we propose a visualization system for MANETs. The system can mainly visualize the network topology, state of nodes, and packet flows in MANETs using mobile PCs and wireless LAN cards. The multi-hop communication function needed for visualization of MANETs was also implemented on the application layer. For visualization of network topology, we implemented three modes: GPS mode, Hop Tree mode and manual mode. Furthermore, in order to show the effectiveness of the system, we implemented DSR protocol and visualized its packet flow. We verified by experiments that the visualization system can promptly represent the network topology, the state of each node, and the packet flow.

Keywords: Visualization system, MANET, network topology, packet flow, wireless communication, network management

River Publishers: Journal of Mobile Multimedia