Summary Many indoor location systems utilizing the fingerprinting technique require frequent signal map generation due to the dynamic properties of indoor environments. This time‐consuming task can be freed from human involvement by using various techniques. Thus, a robot‐aided signal map creator is implemented and its positioning performance as well as its mapping time is compared with a widely used human facilitated approach. For testing purposes, a low‐cost, low‐power, not off‐the‐shelf signal data collection robot is implemented. Its signal collection speed and location estimation precision is then compared with the manual method both in a small and large environment. The findings indicate that in the small environment, robot‐aided approach performs with 268‐cm error‐rate 70% of the time. On the other hand, the improved robot‐aided approach in large environment saves 52 min of labor‐intense legwork and achieves 303.5‐cm mean error‐rate.

The aim of this paper is to identify whether the development of a context-dependent location tracking prototype would be possible with technology already present in modern smartphones. To do this, a market gap analysis of the current competitors, and how the final product would differentiate from the competitors are given. Furthermore, the chosen technologies and frameworks are described briefly followed by a technical presentation of the prototype and how it works. Finally, the concept and future work are discussed. As a result, the conclusion is that the prototype presented in this paper shows that it is possible to develop a context-dependent location tracking system with technology present in modern smartphones and thus providing proof-of-concept.

In the last decade, penetration of mobile technologies has changed our daily lives and the way we interact with each other and the rest of the world. With the latest wireless and mobile technologies, today, mobile users can find out about the congestion levels of motorways and route their trip accordingly. They can access public transport timetables on-the-move and have the data tailored dynamically based on their location. In this work, not only to improve lifestyles but increase life standards, we aim to combine the paradigms above with healthcare and hospital patient records systems. Accordingly, this paper describes a location-aware electronic health record system that can sense the location of the physician by utilizing fingerprinting technique, and retrieve the relevant patient's medical data on to the physician's mobile device. Furthermore, the system also enables medical personnel to transcribe post-it-like, audio-notes, and facilitate communication among physicians on other shifts by posting location-based notes. The prototype system's location precision and usability evaluation results indicate that the proposed system is conceived as easy to use, accurate, and efficient tool.

A large number of the adult population suffers from some kind of back pain during their lifetime. Part of the process of diagnosing and treating such back pain is for a clinician to collect information as to the type and location of the pain that is being suffered. Traditional approaches to gathering and visualizing this pain data have relied on simple 2-D representations of the human body, where different types of sensation are recorded with various monochrome symbols. Although patients have been shown to prefer such drawings to traditional questionnaires, these pain drawings can be limited in their ability to accurately record pain. The work described in this paper proposes an alternative that uses a 3-D representation of the human body, which can be marked in color to visualize and record the pain data. This study has shown that the new approach is a promising development in this area of medical practice and has been positively received by patients and clinicians alike.

In most countries today, handwritten, paper-based medical prescriptions are the norm. While efforts have been made in the past and are being made at present to migrate toward electronic dispensation of prescriptions, these have generally omitted to incorporate ubiquitous computing technology in their proposed solutions. In this paper, we focus on this issue and describe a Jini-based prototypical solution for electronic prescriptions, which allows for their wireless transmission to in-range pharmacies and the augmentation of the service levels rendered to the user, with, for instance, information about queue lengths and estimated waiting times being provided to the patients. Clinical and user evaluation revealed that there were high levels of agreement as regards the prototype's effectiveness, ease of use, and usefulness.

Chronic back pain is a debilitating experience for a considerable proportion of the adult population, with a significant impact on countries' economies and health systems. While there has been increasing anecdotal evidence to support the fact that for certain categories of patients (such as wheelchair users), the back pain experienced is dynamically varying with time, there is a relative scarcity of data to support and document this observation, with consequential impact upon such patients' treatment and care. Part of the reason behind this state of affairs is the relative difficulty in gathering pain measurements at precisely defined moments in time. In this paper, we describe a wireless-enabled solution that collects both questionnaire and diagrammatic, visual-based data, via a pain drawing, which overcomes such limitations, enabling seamless data collection and its upload to a hospital server using existing wireless fidelity technology. Results show that it is generally perceived to be an easy-to-use and convenient solution to the challenges of anywhere/anytime data collection.