Browsing NTNU Open by Author "Bourke, Alan"
Now showing items 1-6 of 6
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A physical activity reference data-set recorded from older adults using body-worn inertial sensors and video technology?The ADAPT study data-set
Bourke, Alan; Ihlen, Espen Alexander F.; Bergquist, Ronny; Wik, Per Bendik; Vereijken, Beatrix; Helbostad, Jorunn L. (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 ... -
The FARSEEING real-world fall repository: a large-scale collaborative database to collect and share sensor signals from real-world falls
Klenk, Jochen; Schwickert, Lars; Palmerini, Luca; Mellone, Sabato; Bourke, Alan; Ihlen, Espen Alexander F.; Kerse, Ngaire; Hauer, Klaus; Pijnappels, Mirjam; Synofzik, Matthis; Srulijes, Karin; Maetzler, Walter; Helbostad, Jorunn L.; Zijlstra, Wiebren; Aminian, Kamiar; Todd, Christopher; Chiari, Lorenzo; Becker, Clemens (Peer reviewed; Journal article, 2016)Background Real-world fall events objectively measured by body-worn sensors can improve the understanding of fall events in older people. However, these events are rare and hence challenging to capture. Therefore, the ... -
Inertial sensor based analysis of lie-to-stand transfers in younger and older adults
Schwickert, Lars; Boos, Ronald; Klenk, Jochen; Bourke, Alan; Becker, Clemens; Zijlstra, Wiebren (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. ... -
Motor activity across delirium motor subtypes in geriatric patients assessed using body-worn sensors: a Norwegian cross-sectional study
Evensen, Sigurd Storhaug; Bourke, Alan; Lydersen, Stian; Sletvold, Olav; Saltvedt, Ingvild; Wyller, Torgeir Bruun; Taraldsen, Kristin (Journal article; Peer reviewed, 2019)Objectives It remains unclear if geriatric patients with different delirium motor subtypes express different levels of motor activity. Thus, we used two accelerometer-based devices to simultaneously measure upright activity ... -
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
Awais, Muhammad; Palmerini, Luca; Bourke, Alan; Ihlen, Espen Alexander F.; Helbostad, Jorunn L.; Chiari, Lorenzo (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, ... -
Template-Based Recognition of Human Locomotion in IMU Sensor Data Using Dynamic Time Warping
Sczuka, Kim; Schneider, Marc; Bourke, Alan; Mellone, Sabato; Kerse, Ngaire; Helbostad, Jorunn L.; Becker, Clemens; Klenk, Jochen (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 ...