A User-Centred Approach to Reducing Sedentary Behaviour

The use of digital technologies in the administration of healthcare is growing at a rapid rate. However, such platforms are often expensive. As people are living longer, the strain placed on hospitals is increasing. It is evident that a usercentric approach is needed, which aims to prevent illness before a hospital visit is required. As such, with the levels of obesity rising, preventing this illness before such resources are required has the potential to save an enormous amount of time and money, whilst promoting a healthier lifestyle. New and novel approaches are needed, which are inexpensive and pervasive in nature. One such approach is to use human digital memories. This outlet provides visual lifelogs, composed of a variety of data, which can be used to identify periods of inactivity. This paper explores how the DigMem system is used to successfully recognise activity and create temporal memory boxes of human experiences, which can be used to monitor sedentary behaviour

Capturing and Sharing Human Digital Memories with the Aid of Ubiquitous Peer– to–Peer Mobile Services

The explosion of mobile computing and the sharing of content ubiquitously has enabled users to create and share memories instantly. Access to different data sources, such as location, movement, and physiology, has helped to create a data rich society where new and enhanced memories will form part of everyday life. Peer–to–Peer (P2P) systems have also increased in popularity over the years, due to their ad hoc and decentralized nature. Mobile devices are “smarter” and are increasingly becoming part of P2P systems; opening up a whole new dimension for capturing, sharing and interacting with enhanced human digital memories. This will require original and novel platforms that automatically compose data sources from ubiquitous ad-hoc services that are prevalent within the environments we occupy. This is important for a number of reasons. Firstly, it will allow digital memories to be created that include richer information, such as how you felt when the memory was created and how you made others feel. Secondly, it provides a set of core services that can more easily manage and incorporate new sources as and when you are available. In this way memories created in the same location, and time are not necessarily similar – it depends on the data sources that are accessible. This paper presents DigMem, the initial prototype that is being developed to utilize distributed mobile services. DigMem captures and shares human digital memories, in a ubiquitous P2P environment. We present a case study to validate the implementation and evaluate the applicability of the approach

A User-Centred Approach to Reducing Sedentary Behaviour

The use of digital technologies in the administration of healthcare is growing at a rapid rate. However, such platforms are often expensive. As people are living longer, the strain placed on hospitals is increasing. It is evident that a usercentric approach is needed, which aims to prevent illness before a hospital visit is required. As such, with the levels of obesity rising, preventing this illness before such resources are required has the potential to save an enormous amount of time and money, whilst promoting a healthier lifestyle. New and novel approaches are needed, which are inexpensive and pervasive in nature. One such approach is to use human digital memories. This outlet provides visual lifelogs, composed of a variety of data, which can be used to identify periods of inactivity. This paper explores how the DigMem system is used to successfully recognise activity and create temporal memory boxes of human experiences, which can be used to monitor sedentary behaviour

A User-Centred Approach to Reducing Sedentary Behaviour

The use of digital technologies in the administration of healthcare is growing at a rapid rate. However, such platforms are often expensive. As people are living longer, the strain placed on hospitals is increasing. It is evident that a usercentric approach is needed, which aims to prevent illness before a hospital visit is required. As such, with the levels of obesity rising, preventing this illness before such resources are required has the potential to save an enormous amount of time and money, whilst promoting a healthier lifestyle. New and novel approaches are needed, which are inexpensive and pervasive in nature. One such approach is to use human digital memories. This outlet provides visual lifelogs, composed of a variety of data, which can be used to identify periods of inactivity. This paper explores how the DigMem system is used to successfully recognise activity and create temporal memory boxes of human experiences, which can be used to monitor sedentary behaviour

Creating human digital memories with the aid of pervasive mobile devices

The abundance of mobile and sensing devices, within our environment, has led to a society in which any object, embedded with sensors, is capable of providing us with information. A human digital memory, created with the data from these pervasive devices, produces a more dynamic and data rich memory. Information such as how you felt, where you were and the context of the environment can be established. This paper presents the DigMem system, which utilizes distributed mobile services, linked data and machine learning to create such memories. Along with the design of the system, a prototype has also been developed, and two case studies have been undertaken, which successfully create memories. As well as demonstrating how memories are created, a key concern in human digital memory research relates to the amount of data that is generated and stored. In particular, searching this set of big data is a key challenge. In response to this, the paper evaluates the use of machine learning algorithms, as an alternative to SPARQL, and treats searching as a classification problem. In particular, supervised machine learning algorithms are used to find information in semantic annotations, based on probabilistic reasoning. Our approach produces good results with 100% sensitivity, 93% specificity, 93% positive predicted value, 100% negative predicted value, and an overall accuracy of 97%. Crown Copyright © 2013 Published by Elsevier B.V. All rights reserved

Monitoring and Measuring Sedentary Behaviour with the Aid of Human Digital Memories

There is growing global concern over the growing levels of obesity and the fact that people in general are not as active as they once were. Many believe that this is directly related to poor diet and our increasing reliance on technology, such as television, social networking, computer games, and voice activated home control systems. These kinds of activities increase sedentary behaviour across all age groups and is considered one of the main contributors to obesity and poor health. For this reason decreasing sedentary behaviour is considered a crucial theme within many research programs in health. Ironically, there is general agreement that the use of technology is likely to help researchers understand this type of behaviour. One interesting approach is based upon the use of human digital memories to provide visual lifelogs of a user’s activity and to identify the behaviour patterns of individuals. In this way visual lifelogs provide a way for user’s to evaluate their lifestyle choices. This paper discusses some of the key technologies used to achieve this and considers some of the challenges that still need to be addressed

Remotely Monitoring and Preventing the Development of Pressure Ulcers with the Aid of Human Digital Memories

There is growing concern, among senior personnel in the National Health Service in the UK, over the increased development of pressure ulcers. The occurrence of pressure ulcers has been attributed to prolong sedentary behaviour. Providing care, for this preventable condition, is costly and time-consuming for patients and medical practitioners. Extra bedside assistance is needed; however, with the workload of medical staff increasing, this is not always practical. In order to prevent the occurrence of pressure ulcers new and novel ways of remotely monitoring patients is essential. An interesting approach worth considering is the use of human digital memories, which provide visual life logs of a patient’s physiological and environmental data. This paper discusses some of the current technologies used within the area and how they might be applied to the management and prevention of pressure ulcers. We have successfully developed a working prototype system to demonstrate the applicability of our approach

Augmenting Human Digital Memories with Physiological Data

The area of human digital memories focuses on documenting our entire lifetime. Using this outlet, a diverse range of information can be brought together, such as photos, location, temperature and physiological information. Nowadays, we have access to a number of different data sources, thus allowing more dynamic and data rich memories to be created. In particular, the inclusion of physiological data offers a new insight into the augmentation of memories and provides a richer level of detail. This information can be used to determine how we were feeling, at any time, and, potentially, how we made others feel as well. Memories, created over a lifetime, can be retrieved, and we can see how our bodies have changed over time. This paper presents the DigMem system, which incorporates physiological data into the creation of human digital memories. A prototype has been successfully developed, which demonstrates the approach and evaluates the applicability of the research

Creating Human Digital Memories for a Richer Recall of Life Experiences

Human digital memories focus on documenting our lifetime. This outlet allows us to capture and bring together information that is related to almost any aspect of our lives. Creating these memories allows us to recall experiences, seamlessly; and to re-live specific events, using detailed information about those experiences. The evolution of smart devices enables any object to provide us with information. With all of this data at our disposal, new opportunities are arising to incorporate this data into our digital memories. Consequently, the challenge is to develop a platform, capable of linking captured information together, to form feature rich digital memories of human experiences. This paper presents DigMem, a platform for creating human digital memories, using pervasive devices and linked data. Information is semantically structured to create temporal “memory boxes”. A working prototype has been successfully developed, which demonstrates the approach

Towards a Framework for Capturing and Distributing Rich Interactive Human Digital Memories

The area of human digital memories has placed considerable focus on documenting the things we do, the places we visit and the thoughts we think. Rather than sharing important events face–to–face, i.e. by watching home videos together or looking through photo albums, people tend to share their memories with each other through emails or text messages, or by posting them online. The difficulty is that the vast amounts of data we collect are often difficult to access and less meaningful to us over time. The challenge is to structure human digital memories in a way that can be easily distributed and recollected at different time periods in our lives. More specifically, the collection and organisation of memory-related information (images, video, physiological data and so on) needs to occur using ubiquitous ad hoc services, prevalent within the environments we occupy. This is likely to happen without us necessarily being aware that memories are being created. This will remove the need to manage the growing number of information sources that require conventional tools to achieve this, for example, a camera to take stills and video. This paper posits a new and novel idea that builds on the nomadic nature of people, ubiquitous computing, context awareness, physiological computing, semantic annotation and ad hoc networking that will allow rich interactive digital memories to be created amongst individuals and their environments that are unobtrusive to individuals