Creating digital life stories through activity recognition with image filtering

Abstract. This paper presents two algorithms that enables the MemoryLane system to support persons with mild dementia through creation of digital life stories. The MemoryLane system consists of a Logging Kit that captures context and image data, and a Review Client that recognizes activities and enables review of the captured data. The image filtering algorithm is based on image characteristics such as brightness, blurriness and similarity, and is a central component of the Logging Kit. The activity recognition algorithm is based on the captured contextual data together with concepts of persons and places. The initial results indicate that the MemoryLane system is technically feasible and that activity-based creation of digital life stories for persons with mild dementia is possible

Mobile client for SMART reaction

Today users often do not provide suggestions or feedback for the environment around them because of uncertainty on who to contact, where to contact, time and effort required to participate actively. SMART system is intended to provide solution to facilitate users to easily recognize things and the objects around them for their suggestion or feedback. This thesis presents Mobile Client for the SMART system with focus on employees where they can participate actively in an industrial context, which is the replacement of manual system. Finding feasible way to annotate an object in an industrial context is one of the major tasks of the thesis work. Mobile Client identify objects by different ways, it can be a unique identification number of an object, name of object or by looking at the latest suggestions provided by other employees. Mobile Client provides many ways to react and provide suggestions to facilitate employees. It provides access to native resources of mobile terminal within the Mobile Client to add interactive suggestions. A suggestion can be provided by one of or all of the available options, which are Text, Audio, Video or Image capturing. Mobile Client submits the suggestion using internet, which is further available to other employees: they can view and provide their suggestion or feedback. Mobile is a low memory device and causes application crash on adding too much media elements while suggestion. Client has been observed for platform independency and figured out the problems that are faced while deploying this system on other mobile terminals having different platform. Test results have shown that the system provides quick and easy solution for SMART reactions. System outcome is satisfied and can provide smarter solution for the different situations. It can be enhanced by providing more options and features in the future.Validerat; 20101217 (root

Context-aware life-logging for persons with mild dementia

The demands of introducing technology to support independent living is increasing. This is true also for persons suffering from mild dementia who may have difficulties remembering important information, such as activities, numbers, names, objects, faces, and so on. This paper presents a context-aware life-logging system, called MemoryLane, which can support independent living and improve quality of life for persons with mild dementia. The system offers both real time support as well as possibilities to rehearse and recall activities for building episodic memory. This paper also presents a mobile client to be used in MemoryLane, as well as an evaluation of the importance of different data for the purpose of memory recollection.Godkänd; 2009; 20091008 (qwazi)</p

Creating digital life stories through activity recognition with image filtering

This paper presents two algorithms that enables the MemoryLane system to support persons with mild dementia through creation of digital life stories. The MemoryLane system consists of a Logging Kit that captures context and image data, and a Review Client that recognizes activities and enables review of the captured data. The image filtering algorithm is based on image characteristics such as brightness, blurriness and similarity, and is a central component of the Logging Kit. The activity recognition algorithm is based on the captured contextual data together with concepts of persons and places. The initial results indicate that the MemoryLane system is technically feasible and that activity-based creation of digital life stories for persons with mild dementia is possible.Validerad; 2010; 20100503 (basel)</p

Structuring and presenting lifelogs based on location data

Lifelogging techniques help individuals to log their life and retrieve important events, memories and experiences. Structuring lifelogs is a major challenge in lifelogging systems since the system should present the logs in a concise and meaningful way to the user. In this article the authors present a novel approach for structuring lifelogs as places and activities based on location data. The structured lifelogs are achieved using a combination of density-based clustering algorithms and convex hull construction to identify the places of interest. The periods of time where the user lingers at the same place are then identified as possible activities. In addition to structuring lifelogs the authors present an application in which images are associated to the structuring results and presented to the user for reviewing. The proposed approach allows automatic inference of information about significant places and activities, which generates structured image-annotated logs of everyday life.Godkänd; 2012; 20121030 (andboy)</p