[HTML][HTML] Emerging Technologies and Open-Source Platforms for Remote Physical Exercise: Innovations and Opportunities for Healthy Population—A Narrative …

A Fucarino, A Fabbrizio, ND Garrido, E Iuliano… - Healthcare, 2024 - mdpi.com
The emergence of tele-exercise as a response to the impact of technology on physical
activity has opened up new possibilities for promoting physical health. By integrating …

A blockchain-enabled framework for mhealth systems

DD Taralunga, BC Florea - Sensors, 2021 - mdpi.com
Presently modern technology makes a significant contribution to the transition from
traditional healthcare to smart healthcare systems. Mobile health (mHealth) uses advances …

A portable smart fitness suite for real-time exercise monitoring and posture correction

A Hannan, MZ Shafiq, F Hussain, IM Pires - Sensors, 2021 - mdpi.com
Fitness and sport have drawn significant attention in wearable and persuasive computing.
Physical activities are worthwhile for health, well-being, improved fitness levels, lower …

Exersense: physical exercise recognition and counting algorithm from wearables robust to positioning

S Ishii, A Yokokubo, M Luimula, G Lopez - Sensors, 2020 - mdpi.com
Wearable devices are currently popular for fitness tracking. However, these general usage
devices only can track limited and prespecified exercises. In our previous work, we …

[HTML][HTML] Validation of a smartwatch-based workout analysis application in exercise recognition, repetition count and prediction of 1RM in the strength training-specific …

K Oberhofer, R Erni, M Sayers, D Huber, F Lüthy… - Sports, 2021 - mdpi.com
Sports | Free Full-Text | Validation of a Smartwatch-Based Workout Analysis Application in
Exercise Recognition, Repetition Count and Prediction of 1RM in the Strength Training-Specific …

Configurable offline sensor placement identification for a medical device monitoring Parkinson's disease

N Kostikis, G Rigas, S Konitsiotis, DI Fotiadis - Sensors, 2021 - mdpi.com
Sensor placement identification in body sensor networks is an important feature, which
could render such a system more robust, transparent to the user, and easy to wear for long …

Exersense: Real-time physical exercise segmentation, classification, and counting algorithm using an imu sensor

S Ishii, K Nkurikiyeyezu, M Luimula… - Activity and Behavior …, 2021 - Springer
Even though it is well known that physical exercises have numerous emotional and physical
health benefits, maintaining a regular exercise routine is quite challenging. Fortunately …

Accelerometer-based algorithm for the segmentation and classification of repetitive human movements during workouts

D Džaja, M Čibarić, G Šeketa… - Automatika: časopis za …, 2023 - hrcak.srce.hr
Sažetak Monitoring a person's physical activity has a wide range of applications in both
sports and medicine. With the advancement of technology for measuring human movement …

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 …

A preliminary experimental outline to train machine learning models for the unobtrusive, real-time detection of acute physiological stress levels during training …

A Jeworutzki, J Schwarzer, K von Luck… - Proceedings of the 14th …, 2021 - dl.acm.org
The automatic recognition of activities can assist people in keeping track of their health and
in avoiding injuries. Nowadays, inertial measurement units have gained notable interest for …