• 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 ...
    • 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 ...