Papers accepted for UbiMI 2012
Gustarini, M.; Wac, K.: Ubiquitous Inference of Mobility State of Human Custodian in People-Centric Context Sensing.
Abstract: People-centric sensing using people’s smartphones offers new research opportunities for large case studies. It presents many challenges, e.g., efficient capture of person’s mobility, understanding of context changes and preservation of user privacy. We propose an accurate and energy-efficient method able to capture user’s mobility, thus the context changes, while preserving his/her privacy. Our solution can be applied to systems that aim to efficiently sense context on smartphones to study large scale phenomena or perform location management.
Sano, A. et al.: Multimodal Annotation Tool for Challenging Behaviors in People with Autism Spectrum Disorders.
Abstract: Individuals diagnosed with Autism Spectrum Disorders (ASD) often have challenging behaviors (CB’s), such as self-injury or emotional outbursts, which can negatively impact the quality of life of themselves and those around them. Recent advances in mobile and ubiquitous technologies provide an opportunity to efficiently and accurately capture important information preceding and associated with these CB’s. The ability to obtain this type of data will help with both intervention and behavioral phenotyping efforts. Through collaboration with behavioral scientists and therapists, we identified relevant design requirements and created an easy-to-use mobile application for collecting, labeling, and sharing in-situ behavior data in individuals diagnosed with ASD. Furthermore, we have released the application to the community as an open- source project so it can be validated and extended by other researchers.
Zhang, M.; Sawchuk, A.: A Preliminary Study of Sensing Appliance Usage for Human Activity Recognition Using Mobile Magnetometer.
Abstract: Human activity recognition and human behavior understanding play a central role in the field of ubiquitous computing. In this paper, we propose a novel method using magnetometer embedded in the mobile phone to recognize activities by detecting household appliance usage. The key idea of our approach is that when the mobile phone user performs a certain activity at home, the embedded magnetometer is capable of capturing the changes of the magnetic field strength around the mobile phone caused by the household appliance in operation. Our mobile application uses these changes as magnetic signatures for each of these appliance such that the daily household activities associated with these appliance such as cooking can be recognized.
Tamilin, A. et al.: Context-Aware Mobile Crowdsourcing.
Abstract: Ubiquity of internet-connected media- and sensor-equipped portable devices has emerged a range of opportunities for direct involvement of citizens into public decision making, leading to a new participatory format of public administration functioning. Intersecting the power of the crowdsourcing problem-solving paradigm by directly relying on human intelligence, with instantaneity and situation-awareness of mobile technologies, one gets a context-aware crowdsourcing approach for problem-solving in the right circumstances with the right people. In this paper, we present a prototype implementation of a context-aware mobile crowdsourcing system that enables the deployment and execution of crowd- sourcing campaigns with users carrying mobile devices.The system is designed to maximize conditions for user participation, while minimizing the usage of energy. The paper describes the system architecture, defines an optimized sampling algorithm, and outlines a preliminary experimentation study carried out.
Desruelle, H. et al.: On the Challenges of Building a Web-based Ubiquitous Application Platform.
Abstract: People use an increasing number of consumer electronic de- vices to access their mobile apps. To enhance the applications’ immersive user experience, these devices often ex- pose APIs for accessing a wide array of sensors and domain- specific capabilities. Existing mobile application environments, however, only provide limited support for cross-device access of such APIs. To address this limitation, the Webinos platform was designed. Webinos is a virtualized Web-based application platform, aiming to support the collaboration of multiple devices within a single mobile application. In this paper we elaborate on the Webinos platform design. We dis- cuss the encountered design challenges regarding portability, scalability, and privacy, and how these were mitigated.
Rodríguez, M. et al.: Using Ontologies to Reduce User Intervention to Deploy Sensing Campaigns with the InCense Toolkit.
Abstract: This paper presents the InCense research toolkit to facilitate researchers with little or no technical background to implement a sensing application for mobile phones. To reach this end, InCense provides a GUI and an interactive ontology to enable users to define the configuration of the sensing application, i.e. what sensing components to add, and the flow of the sensing session. We illustrate the ease of use of the InCense platform through a scenario in which both opportunistic and participatory sensing paradigms are used.
Rodrigues, H. et al.: Engaging participants for collaborative sensing of human mobility.
Abstract: Human mobility has been widely studied for a variety of purposes, from urban planning to the study of spread of diseases. These studies depend heavily on large datasets, and recent advances in collaborative sensing and WiFi infrastructures have created new opportunities for generating that data. However, these methods and procedures require the participation of a significant community of users through extended periods of time. In this paper, we address the problem of how to engage people to participate in the data collection process. We have conducted a user study on the utilisation of a mobile collaborative sensing application. We have found that users react positively to campaigns, but it is difficult to keep them participating for long periods of time. We also hypothesise that one must close the loop, rewarding the participants with services based on the collected data, eventually showing that there is added value obtainable from crowd sourcing.
Weiss, G.; Lockhart, J.: A Comparison of Alternative Client/Server Architectures for Ubiquitous Mobile Sensor-Based Applications.
Abstract: Mobile devices such as smart phones, tablet computers, and music players are ubiquitous. These devices typically contain many sensors, such as vision sensors (cameras), audio sensors (microphones), acceleration sensors (accelerometers) and location sensors (e.g., GPS), and also have some capability to send and receive data wirelessly. Sensor arrays on these mobile devices make innovative applications possible, especially when data mining is applied to the sensor data. But a key design decision is how best to distribute the responsibilities between the client (e.g., smartphone) and any servers. In this paper we investigate alternative architectures, ranging from a “dumb” client, where virtually all processing takes place on the server, to a “smart” client, where no server is needed. We describe the advantages and disadvantages of these alternative architectures and describe under what circumstances each is most appropriate. We use our own WISDM (WIreless Sensor Data Mining) architecture to pro- vide concrete examples of the various alternatives.Schedule
9 - 9:15am - Gustarini, M.; Wac, K.: Ubiquitous Inference of Mobility State of Human Custodian in People-Centric Context Sensing.
9:15 - 9:30am - Sano, A. et al.: Multimodal Annotation Tool for Challenging Behaviors in People with Autism Spectrum Disorders.
9:30 - 9:45am - Zhang, M.; Sawchuk, A.: A Preliminary Study of Sensing Appliance Usage for Human Activity Recognition Using Mobile Magnetometer.
9:45 - 10:00am - Tamilin, A. et al.: Context-Aware Mobile Crowdsourcing.
10 - 11am - COFFEE BREAK
11 - 11:15am - Desruelle, H. et al.: On the Challenges of Building a Web-based Ubiquitous Application Platform.
11:15 - 11:30am - Rodríguez, M. et al.: Using Ontologies to Reduce User Intervention to Deploy Sensing Campaigns with the InCense Toolkit.
11:30 - 11:45am - Rodrigues, H. et al.: Engaging participants for collaborative sensing of human mobility.
11:45 - 12pm - Weiss, G.; Lockhart, J.: A Comparison of Alternative Client/Server Architectures for Ubiquitous Mobile Sensor-Based Applications.
12 - 1:30pm - LUNCH
1:30 - 2pm - Organizers' presentation and discussion panel kick-off
2 - 2:55pm - Discussion panel
2:55 - 3pm - Workshop wrap-up
3 - 3:30pm - WRAP-UP COFFEE