Trends supporting the in-field use of wearable inertial sensors for sport performance evaluation: A systematic review

V Camomilla, E Bergamini, S Fantozzi, G Vannozzi - Sensors, 2018 - mdpi.com
Recent technological developments have led to the production of inexpensive, non-invasive,
miniature magneto-inertial sensors, ideal for obtaining sport performance measures during …

Machine and deep learning for sport-specific movement recognition: A systematic review of model development and performance

EE Cust, AJ Sweeting, K Ball… - Journal of sports …, 2019 - Taylor & Francis
Objective assessment of an athlete's performance is of importance in elite sports to facilitate
detailed analysis. The implementation of automated detection and recognition of sport …

A wearable device and system for movement and biometric data acquisition for sports applications

M Kos, I Kramberger - IEEE access, 2017 - ieeexplore.ieee.org
This paper presents a miniature wearable device and a system for detecting and recording
the movement and biometric information of a user during sport activities. The wearable …

Test–retest reliability of putting-related variables in medium-to-high handicap golf players

X García-Massó, I Villarrasa-Sapiña… - Scientific Reports, 2024 - nature.com
This manuscript aims to study the reliability of different variables related to performance and
acceleration during the golf putt in players with medium-to-high handicaps and to determine …

Golf swing segmentation from a single IMU using machine learning

M Kim, S Park - Sensors, 2020 - mdpi.com
Golf swing segmentation with inertial measurement units (IMUs) is an essential process for
swing analysis using wearables. However, no attempt has been made to apply machine …

A review of dynamic models and measurements in golf

J McPhee - Sports Engineering, 2022 - Springer
A narrative review of dynamic models of golf phenomena is presented, as well as current
technologies for measuring the motions of a golfer, club, and ball. Kinematic and dynamic …

Auto detecting deliveries in elite cricket fast bowlers using microsensors and machine learning

HK Jowitt, J Durussel, R Brandon… - Journal of sports …, 2020 - Taylor & Francis
Cricket fast bowlers are at a high risk of injury occurrence, which has previously been shown
to be correlated to bowling workloads. This study aimed to develop and test an algorithm …

[图书][B] Biomechanical biofeedback systems and applications

A Kos, A Umek - 2018 - Springer
A few years ago we started developing an application that would help Golfers Master a
perfect golf swing by using an augmented biofeedback. We enthusiastically began our …

Suitability of strain gage sensors for integration into smart sport equipment: A golf club example

A Umek, Y Zhang, S Tomažič, A Kos - Sensors, 2017 - mdpi.com
Wearable devices and smart sport equipment are being increasingly used in amateur and
professional sports. Smart sport equipment employs various sensors for detecting its state …

Trends and research issues of mobile learning studies in hospitality, leisure, sport and tourism education: A review of academic publications from 2002 to 2017

YF Tu, GJ Hwang - Interactive Learning Environments, 2020 - Taylor & Francis
Based on the Technology-based Learning model, the present study reviews the published
papers on mobile technologies in Hospitality, Leisure, Sport and Tourism (HLST) education …