Blar i Institutt for nevromedisin og bevegelsesvitenskap på tidsskrift "Sensors"
Viser treff 1-19 av 19
-
A physical activity reference data-set recorded from older adults using body-worn inertial sensors and video technology?The ADAPT study data-set
(Journal article; Peer reviewed, 2017)Physical activity monitoring algorithms are often developed using conditions that do not represent real-life activities, not developed using the target population, or not labelled to a high enough resolution to capture the ... -
Automatic Classification of Sub-Techniques in Classical Cross-Country Skiing Using a Machine Learning Algorithm on Micro-Sensor Data
(Journal article; Peer reviewed, 2018)The automatic classification of sub-techniques in classical cross-country skiing provides unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is currently possible due to the miniaturization ... -
Classical machine learning versus deep learning for the older adults free-living activity classification
(Peer reviewed; Journal article, 2021)Physical activity has a strong influence on mental and physical health and is essential in healthy ageing and wellbeing for the ever-growing elderly population. Wearable sensors can provide a reliable and economical measure ... -
Comparison of a Deep Learning-Based Pose Estimation System to Marker-Based and Kinect Systems in Exergaming for Balance Training
(Peer reviewed; Journal article, 2020)Using standard digital cameras in combination with deep learning (DL) for pose estimation is promising for the in-home and independent use of exercise games (exergames). We need to investigate to what extent such DL-based ... -
Comparison of Standard Clinical and Instrumented Physical Performance Tests in Discriminating Functional Status of High-Functioning People Aged 61–70 Years Old
(Journal article; Peer reviewed, 2019)Assessment of physical performance by standard clinical tests such as the 30-s Chair Stand (30CST) and the Timed Up and Go (TUG) may allow early detection of functional decline, even in high-functioning populations, and ... -
Complexity of daily physical activity is more sensitive than conventional metrics to assess functional change in younger older adults
(Journal article; Peer reviewed, 2018)The emerging mHealth applications, incorporating wearable sensors, enables continuous monitoring of physical activity (PA). This study aimed at analyzing the relevance of a multivariate complexity metric in assessment of ... -
Estimation of mechanical power output employing deep learning on inertial measurement data in roller ski skating
(Peer reviewed; Journal article, 2021)The ability to optimize power generation in sports is imperative, both for understanding and balancing training load correctly, and for optimizing competition performance. In this paper, we aim to estimate mechanical power ... -
Framework for in-field analyses of performance and sub-technique selection in standing para cross-country skiers
(Peer reviewed; Journal article, 2021)Our aims were to evaluate the feasibility of a framework based on micro-sensor technology for in-field analyses of performance and sub-technique selection in Para cross-country (XC) skiing by using it to compare these ... -
Harth: A human activity recognition dataset for machine learning
(Peer reviewed; Journal article, 2021)Existing accelerometer-based human activity recognition (HAR) benchmark datasets that were recorded during free living suffer from non-fixed sensor placement, the usage of only one sensor, and unreliable annotations. We ... -
Inertial sensor based analysis of lie-to-stand transfers in younger and older adults
(Journal article; Peer reviewed, 2016)Many older adults lack the capacity to stand up again after a fall. Therefore, to analyse falls it is relevant to understand recovery patterns, including successful and failed attempts to get up from the floor in general. ... -
Inner-Cycle Phases Can Be Estimated from a Single Inertial Sensor by Long Short-Term Memory Neural Network in Roller-Ski Skating
(Peer reviewed; Journal article, 2022)Objective: The aim of this study was to provide a new machine learning method to determine temporal events and inner-cycle parameters (e.g., cycle, pole and ski contact and swing time) in cross-country roller-ski skating ... -
Kinematic Determination of the Aerial Phase in Ski Jumping
(Peer reviewed; Journal article, 2022)The purpose of this study was to find a generic method to determine the aerial phase of ski jumping in which the athlete is in a steady gliding condition, commonly known as the ‘stable flight’ phase. The aerial phase of ... -
Mobile health applications to promote active and healthy ageing
(Journal article; Peer reviewed, 2017)The European population is ageing, and there is a need for health solutions that keep older adults independent longer. With increasing access to mobile technology, such as smartphones and smartwatches, the development and ... -
Performance analysis in ski jumping with a differential global navigation satellite system and video-based pose estimation
(Peer reviewed; Journal article, 2021)This study investigated the explanatory power of a sensor fusion of two complementary methods to explain performance and its underlying mechanisms in ski jumping. A differential Global Navigation Satellite System (dGNSS) ... -
Performance Evaluation of State of the Art Systems for Psysical Activity Classification of Older Subjects Using Inertial Sensors in a Real Life Scenario: A Benchmark Study
(Peer reviewed; Journal article, 2016)The popularity of using wearable inertial sensors for physical activity classification has dramatically increased in the last decade due to their versatility, low form factor, and low power requirements. Consequently, ... -
Predicting Advanced Balance Ability and Mobility with an Instrumented Timed Up and Go Test
(Peer reviewed; Journal article, 2020)Extensive test batteries are often needed to obtain a comprehensive picture of a person’s functional status. Many test batteries are not suitable for active and healthy adults due to ceiling effects, or require a lot of ... -
Putting Temperature into the Equation: Development and Validation of Algorithms to Distinguish Non-Wearing from Inactivity and Sleep in Wearable Sensors
(Peer reviewed; Journal article, 2022)Long-term monitoring of real-life physical activity (PA) using wearable devices is increasingly used in clinical and epidemiological studies. The quality of the recorded data is an important issue, as unreliable data may ... -
Recommendations for standardizing validation procedures assessing physical activity of older persons by monitoring body postures and movements
(Journal article; Peer reviewed, 2014)Physical activity is an important determinant of health and well-being in older persons and contributes to their social participation and quality of life. Hence, assessment tools are needed to study this physical activity ... -
Template-Based Recognition of Human Locomotion in IMU Sensor Data Using Dynamic Time Warping
(Peer reviewed; Journal article, 2021)Increased levels of light, moderate and vigorous physical activity (PA) are positively associated with health benefits. Therefore, sensor-based human activity recognition can identify different types and levels of PA. In ...