Machine Learning‐Enhanced Triboelectric Sensing Application

R Shang, H Chen, X Cai, X Shi, Y Yang… - Advanced Materials …, 2024‏ - Wiley Online Library
Triboelectric nanogenerator (TENG) has become a promising candidate for wearable
energy harvesting and self‐powered sensing systems. However, processing large amounts …

Human movement monitoring and behavior recognition for intelligent sports using customizable and flexible triboelectric nanogenerator

Y Yang, XJ Hou, WP Geng, JL Mu, L Zhang… - Science China …, 2022‏ - Springer
Effective collection, recognition, and analysis of sports information is the key to intelligent
sports, which can help athletes to improve their skills and formulate scientific training plans …

Automatic classification of sub-techniques in classical cross-country skiing using a machine learning algorithm on micro-sensor data

OMH Rindal, TM Seeberg, J Tjønnås, P Haugnes… - Sensors, 2017‏ - mdpi.com
The automatic classification of sub-techniques in classical cross-country skiing provides
unique possibilities for analyzing the biomechanical aspects of outdoor skiing. This is …

Sex-based differences in speed, sub-technique selection, and kinematic patterns during low-and high-intensity training for classical cross-country skiing

GS Solli, J Kocbach, TM Seeberg, J Tjønnås… - PloS one, 2018‏ - journals.plos.org
Objectives We investigated sex-based differences in speed, sub-technique selection, and
kinematic patterns during low-(LIT) and high-intensity training (HIT) for classical cross …

A unified deep-learning model for classifying the cross-country skiing techniques using wearable gyroscope sensors

J Jang, A Ankit, J Kim, YJ Jang, HY Kim, JH Kim… - Sensors, 2018‏ - mdpi.com
The automatic classification of cross-country (XC) skiing techniques using data from
wearable sensors has the potential to provide insights for optimizing the performance of …

Biomechanical indices represented on radar chart for assessment of performance and infringements in elite race-walkers

T Caporaso, S Grazioso, G Di Gironimo, A Lanzotti - Sports Engineering, 2020‏ - Springer
Nowadays, technology in sport plays an important role to help training and judgement
processes. This study proposes the use of a wearable inertial system to derive novel …

Performance effects of video-and sensor-based feedback for implementing a terrain-specific micropacing strategy in cross-country skiing

TM Seeberg, J Kocbach… - … Journal of Sports …, 2022‏ - journals.humankinetics.com
Purpose: To investigate the performance effects of video-and sensor-based feedback for
implementing a terrain-specific micropacing strategy in cross-country (XC) skiing. Methods …

Assessment of basic motions and technique identification in classical cross-country skiing

J Tjønnås, TM Seeberg, OMH Rindal… - Frontiers in …, 2019‏ - frontiersin.org
Cross-country skiing is a popular Olympic winter sport, which is also used extensively as a
recreational activity. While cross-country skiing primarily is regarded as a demanding …

Physiological and biomechanical determinants of sprint ability following variable intensity exercise when roller ski skating

TM Seeberg, J Kocbach, J Danielsen… - Frontiers in …, 2021‏ - frontiersin.org
The most common race format in cross-country (XC) skiing is the mass-start event, which is
under-explored in the scientific literature. To explore factors important for XC skiing mass …

Sex-based differences in sub-technique selection during an international classical cross-country skiing competition

G Strøm Solli, J Kocbach, S Bucher Sandbakk… - PloS one, 2020‏ - journals.plos.org
The purpose of this study was to compare speed, sub-technique selection and temporal
patterns between world-class male and female cross-country (XC) skiers and to examine the …