TY  - RPRT
A1  - Funda, Christoph
A1  - Marín García, Pablo
A1  - German, Reinhard
A1  - Hielscher, Kai-Steffen
T1  - Online Algorithm for Arrival & Service Curve Estimation
T2  - KuVS Fachgespräch - Würzburg Workshop on Modeling, Analysis and Simulation of Next-Generation Communication Networks 2023 (WueWoWAS’23)
N2  - This paper presents a novel concept to extend state-of-the-art buffer monitoring with additional measures to estimate service-curves. The online algorithm for service-curve estimation replaces the state-of-the-art timestamp logging, as we expect it to overcome the main disadvantages of generating a huge amount of data and using a lot of CPU resources to store the data to a file during operation. We prove the accuracy of the online-algorithm offline with timestamp data and compare the derived bounds to the measured delay and backlog. We also do a proof-of- concept of the online-algorithm, implement it in LabVIEW and compare its performance to the timestamp logging by CPU load and data-size of the log-file. However, the implementation is still work-in-progress.
KW  - hardware-in-the-loop streaming system
KW  - network calculus
KW  - service-curve estimation
KW  - performance monitoring
Y1  - 2023
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-322112
ER  - 
TY  - JOUR
A1  - Pfister, Roland
A1  - Foerster, Anna
T1  - How to measure post-error slowing: The case of pre-error speeding
JF  - Behavior Research Methods
N2  - Post-error slowing is one of the most widely employed measures to study cognitive and behavioral consequences of error commission. Several methods have been proposed to quantify the post-error slowing effect, and we discuss two main methods: The traditional method of comparing response times in correct post-error trials to response times of correct trials that follow another correct trial, and a more recent proposal of comparing response times in correct post-error trials to the corresponding correct pre-error trials. Based on thorough re-analyses of two datasets, we argue that the latter method provides an inflated estimate by also capturing the (partially) independent effect of pre-error speeding. We propose two solutions for improving the assessment of human error processing, both of which highlight the importance of distinguishing between initial pre-error speeding and later post-error slowing.
KW  - response-time analysis
KW  - post-error slowing
KW  - pre-error speeding
KW  - performance monitoring
Y1  - 2022
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-273244
SN  - 1554-3528
VL  - 54
IS  - 1
ER  - 
TY  - JOUR
A1  - Düking, Peter
A1  - Hotho, Andreas
A1  - Holmberg, Hans-Christer
A1  - Fuss, Franz Konstantin
A1  - Sperlich, Billy
T1  - Comparison of Non-Invasive Individual Monitoring of the Training and Health of Athletes with Commercially Available Wearable Technologies
JF  - Frontiers in Physiology
N2  - Athletes adapt their training daily to optimize performance, as well as avoid fatigue, overtraining and other undesirable effects on their health. To optimize training load, each athlete must take his/her own personal objective and subjective characteristics into consideration and an increasing number of wearable technologies (wearables) provide convenient monitoring of various parameters. Accordingly, it is important to help athletes decide which parameters are of primary interest and which wearables can monitor these parameters most effectively. Here, we discuss the wearable technologies available for non-invasive monitoring of various parameters concerning an athlete's training and health. On the basis of these considerations, we suggest directions for future development. Furthermore, we propose that a combination of several wearables is most effective for accessing all relevant parameters, disturbing the athlete as little as possible, and optimizing performance and promoting health.
KW  - sports technology
KW  - wearable technologies
KW  - performance parameters
KW  - health monitoring
KW  - performance monitoring
Y1  - 2016
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-165516
VL  - 7
IS  - 71
ER  - 
TY  - JOUR
A1  - Düking, Peter
A1  - Holmberg, Hans-Christer
A1  - Sperlich, Billy
T1  - Instant Biofeedback Provided by Wearable Sensor Technology Can Help to Optimize Exercise and Prevent Injury and Overuse
JF  - Frontiers in Physiology
KW  - sports
KW  - training optimization
KW  - performance monitoring
KW  - health monitoring
KW  - technology
KW  - coaching
Y1  - 2017
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-158044
VL  - 8
IS  - 167
ER  -