Personalised depression forecasting using mobile sensor data and ecological momentary assessment

A Kathan, M Harrer, L Küster… - Frontiers in digital …, 2022 - frontiersin.org
Introduction Digital health interventions are an effective way to treat depression, but it is still
largely unclear how patients' individual symptoms evolve dynamically during such …

Towards heart rate categorisation from speech in outdoor running conditions

A Gebhard, S Amiriparian… - 2022 E-Health and …, 2022 - ieeexplore.ieee.org
The heart rate (HR) provides key information about the intensity of the cardiorespiratory
workout, the level of exertion, and the overall heart condition. In sports, and especially …

Investigating individual-and group-level model adaptation for self-reported runner exertion prediction from biomechanics

A Kathan, A Triantafyllopoulos… - 2022 E-Health and …, 2022 - ieeexplore.ieee.org
Despite the many positive effects of sports, it also carries the risk of overuse injuries if done
excessively. Early detection of a runner's exertion is therefore highly relevant for preventing …

Audio-based Step-count Estimation for Running--Windowing and Neural Network Baselines

P Wagner, A Triantafyllopoulos, A Gebhard… - arXiv preprint arXiv …, 2024 - arxiv.org
In recent decades, running has become an increasingly popular pastime activity due to its
accessibility, ease of practice, and anticipated health benefits. However, the risk of running …

Personalised Speech-Based Heart Rate Categorisation Using Weighted-Instance Learning

A Kathan, S Amiriparian, A Gebhard… - Proceedings of the 6th …, 2023 - dl.acm.org
Running as one of the most popular sports comes with many positive effects, but also with
risks. Most injuries are caused by overexertion. To optimise training and prevent injuries …

Small data, big challenges: pitfalls and strategies for machine learning in fatigue detection

A Jeworutzki, J Schwarzer, K Von Luck… - Proceedings of the 16th …, 2023 - dl.acm.org
This research addresses the pitfalls and strategies for machine learning with small data sets
in the context of sensor-based fatigue detection. It is shown that many existing studies in this …

[PDF][PDF] Analysis and automatic prediction of exertion from speech: Contrasting objective and subjective measures collected while running

A Triantafyllopoulos, A Gebhard, A Kathan… - Proc. Interspeech …, 2023 - isca-archive.org
Monitoring runner exertion in real-time can provide unique insights that help improve
training and reduce injuries. Most existing methods use heart rate (HR) as a physiological …

Informing the design of voice-based technology for capturing runners' subjective and affective experience while running

T Bi - 2023 - discovery.ucl.ac.uk
Despite significant advances in running technologies for objective running metrics (eg, pace,
heart rate, cadence), current technology is unable to fully capture the subjective and …