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Past, present, and future of sustainable finance: insights from big data analytics through machine learning of scholarly research. [PDF]

Ann Oper Res, 2022
Kumar S, Sharma D, Rao S, Lim WM, Mangla SK.   +4 more
europepmc   +3 more sources

PolarBearVidID: A Video-Based Re-Identification Benchmark Dataset for Polar Bears

Animals, 2023
Automated monitoring systems have become increasingly important for zoological institutions in the study of their animals’ behavior. One crucial processing step for such a system is the re-identification of individuals when using multiple cameras.
Matthias Zuerl, Richard Dirauf, Franz Koeferl, Nils Steinlein, Jonas Sueskind, Dario Zanca, Ingrid Brehm, Lorenzo von Fersen, Bjoern Eskofier   +8 more
doaj   +1 more source

xLength: Predicting Expected Ski Jump Length Shortly after Take-Off Using Deep Learning

Sensors, 2022
With tracking systems becoming more widespread in sports research and regular training and competitions, more data are available for sports analytics and performance prediction. We analyzed 2523 ski jumps from 205 athletes on five venues. For every jump,
Johannes Link, Leo Schwinn, Falk Pulsmeyer, Thomas Kautz, Bjoern M. Eskofier   +4 more
doaj   +1 more source

Wearable Sensors for Activity Recognition in Ultimate Frisbee Using Convolutional Neural Networks and Transfer Learning

Sensors, 2022
In human activity recognition (HAR), activities are automatically recognized and classified from a continuous stream of input sensor data. Although the scientific community has developed multiple approaches for various sports in recent years, marginal ...
Johannes Link, Timur Perst, Maike Stoeve, Bjoern M. Eskofier   +3 more
doaj   +1 more source

CNN-Based Estimation of Sagittal Plane Walking and Running Biomechanics From Measured and Simulated Inertial Sensor Data

Frontiers in Bioengineering and Biotechnology, 2020
Machine learning is a promising approach to evaluate human movement based on wearable sensor data. A representative dataset for training data-driven models is crucial to ensure that the model generalizes well to unseen data.
Eva Dorschky, Marlies Nitschke, Christine F. Martindale, Antonie J. van den Bogert, Anne D. Koelewijn, Bjoern M. Eskofier   +5 more
doaj   +1 more source

Inertial sensor-based gait parameters reflect patient-reported fatigue in multiple sclerosis

Journal of NeuroEngineering and Rehabilitation, 2020
Background Multiple sclerosis (MS) is a disabling disease affecting the central nervous system and consequently the whole body’s functional systems resulting in different gait disorders.
Alzhraa A. Ibrahim, Arne Küderle, Heiko Gaßner, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge   +5 more
doaj   +1 more source

Hidden Markov Model based stride segmentation on unsupervised free-living gait data in Parkinson’s disease patients

Journal of NeuroEngineering and Rehabilitation, 2021
Background To objectively assess a patient’s gait, a robust identification of stride borders is one of the first steps in inertial sensor-based mobile gait analysis pipelines.
Nils Roth, Arne Küderle, Martin Ullrich, Till Gladow, Franz Marxreiter, Jochen Klucken, Bjoern M. Eskofier, Felix Kluge   +7 more
doaj   +1 more source

EarGait: Estimation of Temporal Gait Parameters from Hearing Aid Integrated Inertial Sensors

Sensors, 2023
Wearable sensors are able to monitor physical health in a home environment and detect changes in gait patterns over time. To ensure long-term user engagement, wearable sensors need to be seamlessly integrated into the user’s daily life, such as hearing ...
Ann-Kristin Seifer, Eva Dorschky, Arne Küderle, Hamid Moradi, Ronny Hannemann, Björn M. Eskofier   +5 more
doaj   +1 more source

Vagus activation by Cold Face Test reduces acute psychosocial stress responses

Scientific Reports, 2022
Chronic stress is linked to dysregulations of the two major stress pathways—the sympathetic nervous system and the hypothalamic-pituitary-adrenal (HPA) axis, which could for example result from maladaptive responses to repeated acute stress.
Robert Richer, Janis Zenkner, Arne Küderle, Nicolas Rohleder, Bjoern M. Eskofier   +4 more
doaj   +1 more source

Prevalence and course of pregnancy symptoms using self-reported pregnancy app symptom tracker data

npj Digital Medicine, 2023
During pregnancy, almost all women experience pregnancy-related symptoms. The relationship between symptoms and their association with pregnancy outcomes is not well understood. Many pregnancy apps allow pregnant women to track their symptoms.
Michael Nissen, Nuria Barrios Campo, Madeleine Flaucher, Katharina M. Jaeger, Adriana Titzmann, Dominik Blunck, Peter A. Fasching, Victoria Engelhardt, Bjoern M. Eskofier, Heike Leutheuser   +9 more
doaj   +1 more source