
Erlend JohannessenUiT The Arctic University of Norway · Department of Computer Science
Erlend Johannessen
M.Sc. Computer Science
About
15
Publications
1,550
Reads
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34
Citations
Additional affiliations
September 2020 - October 2024
Education
August 2013 - June 2017
Publications
Publications (15)
Universities are facing many challenges as they are expected to prepare their students in the best possible way to contribute to sustainable societal- and industrial development. Students will become researchers, innovators, entrepreneurs, and role models, and should be able to contribute in the transition to a greener and smarter future. The task...
Data from consumer-based devices for collecting personal health-related data could be useful in diagnostics and treatment. This requires a flexible and scalable software and system architecture to handle the data. This study examines the existing mSpider platform, addresses shortcomings in security and development, and suggests a full risk analysis...
Background
Serious public-health concerns such as overweight and obesity are in many cases caused by excess intake of food combined with decreases in physical activity. Smart scales with wireless data transfer can, together with smart watches and trackers, observe changes in the population’s health. They can present us with a picture of our metabol...
Background: Smart scales with wireless data transfer have existed for more than a decade. These smart body composition scales can, together with smart watches and trackers, observe changes in the population's health. Combining body composition data with physical activity measurements from devices such as smart watches could contribute to building a...
Many with intellectual disabilities (ID) have difficulties adhering to current physical activity guidelines. The goal of this study was to develop a mobile app for assisting people with ID to be more physically active. We implemented a solution that combines the digital and real world using augmented reality (AR). Eight people working with people w...
The increased development and use of ubiquitous digital services reinforce the trend where health-related data is generated everywhere. Data usage in different areas introduces different terms for the same or similar concepts. This adds to the confusion of what these terms represent. We aim to provide an overview of concepts and terms used in conne...
Physical activity (PA) data were downloaded from 113 participants who owned a Garmin or Fitbit activity tracker in 2019 and 2020. Upon participant authorization, data were automatically downloaded from the Garmin and Fitbit cloud storages. The mSpider tool, a solution for automatic and continuous data extraction from activity tracker providers, wer...
This data set contains daily averages for steps, total energy expenditure (TEE), activity energy expenditure (AEE), and moderate-to-vigorous physical activity (MVPA). The data are collected over two years (2019-2020) and daily averages are grouped by month. In addition, daily averages for the whole year of 2019 and 2020 are included. Finally, separ...
BACKGROUND
Consumer-based physical activity trackers increase in popularity. The widespread use of these devices and the long-term nature of the recorded data provides a valuable source of physical activity data for epidemiological research. Major challenges include the large number of activity tracker providers and models, and the difference in ho...
BACKGROUND
Consumer-based physical activity trackers increase in popularity. The widespread use of these devices and the long-term nature of the recorded data provides a valuable source of physical activity data for epidemiological research. Major challenges include the large number of activity tracker providers and models, and the difference in ho...
Background:
Consumer-based physical activity trackers increase in popularity. The widespread use of these devices and the long-term nature of the recorded data provides a valuable source of physical activity data for epidemiological research. Challenges include the large heterogeneity between activity tracker models, in terms of available data typ...
When searching the internet e.g. for a person, solution to a problem, or some topic of interest, the wanted outcome is usually specific answers. The result quality for this kind of search is reasonably precise, most of the time we get the answers we need. However, searching a second or third time with the same query, the outcome seems to be minor v...
When searching the internet today we want immediate answers. We often search for a person, or a solution to a problem, or some topic we are interested in. The result quality of this kind of search is pretty good, most of the time we get the answers we need. The results, though, seems to be minor variations on the same results.
But what if the sear...