L. Gomaz

Fingerprint

Dive into the research topics where L. Gomaz is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

1 Similar Profiles

3 Article

Predicting elbow load based on individual pelvis and trunk (inter)segmental rotations in fastball pitching
Gomaz, L., van Trigt, B., van der Meulen, F. & Veeger, D. J., 2024, In: Sports Biomechanics. 16 p.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
13 Downloads (Pure)
Machine Learning Approach for Pitch Type Classification Based on Pelvis and Trunk Kinematics Captured with Wearable Sensors
Gomaz, L., Bouwmeester, C., van der Graaff, E., van Trigt, B. & Veeger, D., 2023, In: Sensors. 23, 23, 14 p., 9373.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
34 Downloads (Pure)
Individualised Ball Speed Prediction in Baseball Pitching Based on IMU Data
Gomaz, L., Veeger, H. E. J., van der Graaff, E., van Trigt, B. & van der Meulen, F. H., 2021, In: Sensors. 21, 22, 10 p., 7442.
Research output: Contribution to journal › Article › Scientific › peer-review

Open Access
File
62 Downloads (Pure)

OSTRC questionnaire data with binary outcomes derived from a longitudinal study on 24 waterpolo players
Gomaz, L. (Creator) & Verhagen, E. (Creator), TU Delft - 4TU.ResearchData, 16 Aug 2024
DOI: 10.4121/EE490352-035B-4DC6-9643-EFD86C87B993
Dataset/Software: Dataset
R code underlying the analysis reported in Predicting elbow load based on individualised (inter)segmental rotation in fastball pitching
Gomaz, L. (Creator), TU Delft - 4TU.ResearchData, 24 Feb 2023
DOI: 10.4121/22134674
Dataset/Software: Software
Kinematic data from youth baseball pitchers recorded with PITCHPERFECT motion sensors
Gomaz, L. (Creator) & van der Graaff, E. (Creator), TU Delft - 4TU.ResearchData, 6 Nov 2023
DOI: 10.4121/F86BA220-08A1-4FA0-89A9-D8995790675B
Dataset/Software: Dataset
R code underlying the analysis reported in the manuscript "Machine learning approach for pitch type classification based on pelvis and trunk kinematics captured with wearable sensors"
Gomaz, L. (Creator), TU Delft - 4TU.ResearchData, 9 Nov 2023
DOI: 10.4121/E339176B-0ECD-48E5-BC7E-9B587C0A8959
Dataset/Software: Software
Preprocessed Vicon data of fastball pitching kinematics and external valgus torque
van Trigt, B. (Creator) & Gomaz, L. (Creator), TU Delft - 4TU.ResearchData, 24 Feb 2023
DOI: 10.4121/22134494
Dataset/Software: Dataset

L. Gomaz

Fingerprint

Collaborations and top research areas from the last five years

Dive into details

Predicting elbow load based on individual pelvis and trunk (inter)segmental rotations in fastball pitching

Machine Learning Approach for Pitch Type Classification Based on Pelvis and Trunk Kinematics Captured with Wearable Sensors

Individualised Ball Speed Prediction in Baseball Pitching Based on IMU Data

OSTRC questionnaire data with binary outcomes derived from a longitudinal study on 24 waterpolo players

R code underlying the analysis reported in Predicting elbow load based on individualised (inter)segmental rotation in fastball pitching

Kinematic data from youth baseball pitchers recorded with PITCHPERFECT motion sensors

R code underlying the analysis reported in the manuscript "Machine learning approach for pitch type classification based on pelvis and trunk kinematics captured with wearable sensors"

Preprocessed Vicon data of fastball pitching kinematics and external valgus torque

L. Gomaz

Fingerprint

Collaborations and top research areas from the last five years

Research output

Datasets