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Visar resultat 1 - 5 av 7 uppsatser som matchar ovanstående sökkriterier.

  1. 1. Assessment of Shoulder Biomechanics during Pull-up Techniques

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Mariah Sabioni; [2023]
    Nyckelord :strength training; biomechanics; motion analysis; shoulder; styrketräning; biomekanik; rörelseanalys; axel;

    Sammanfattning : CrossFit® has gained popularity as a functional training method that caters to individuals with varying levels of fitness, including those with little to no athletic background. Regardless, shoulders represent the highest injury rate in this sport, most frequently associated with pull-up variations. LÄS MER

  3. 2. Exploring the Feasibility of Exercise Detection on the Exxentric kBox Platform

    Master-uppsats, KTH/Medicinteknik och hälsosystem

    Författare :Mahyar Mehr; [2023]
    Nyckelord :Machine learning; Flywheel training; Exercise detection; Signal processing; Exxentric kBox platform; Automatic exercise classification; Feature engineering; Maskininlärning; Träning med svänghjul; Upptäckt av träning; Signalbehandling; Exxentric kBox-plattformen; Automatisk träningklassificering; Funktionsutveckling;

    Sammanfattning : Flywheel training is an increasingly popular training method that aids in the recovery process and promotes strength development while reducing the risk of re-injury. Additionally, automatic exercise classification offers athletes the convenience of effortlessly monitoring and tracking their training progress, enabling them to maintain consistency and achieve their fitness goals effectively. LÄS MER

  4. 3. Electronic Performance And Tracking Systems (EPTS) : Perceptions, Benefits and Challenges of Professional Football Athletes and Training Staff

    Master-uppsats, Linnéuniversitetet/Institutionen för informatik (IK)

    Författare :Pavlos Bitilis; [2021]
    Nyckelord :Information Systems; Personal Informatics PI ; Wearables; Electronic Performance Tracking Systems EPTS ; Football; Football Technology; Football Athletes; Football Training Staff; Sensemaking; Qualitative Research; Ethnography; Greece;

    Sammanfattning : Personal Informatics (PI) are information systems that allow people to process activities with the usage of information technology, aiming to produce informational products (data) either for themselves or for others. Technologies that enable PI are becoming increasingly popular, assisting people in collecting personally relevant information about their body and their behaviour. LÄS MER

  5. 4. Implementation of Video-based Person Tracking in a Drone System

    M1-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Emil Nordberg; Lucas Sjödahl; [2021]
    Nyckelord :Autonomous operation; follow-me mode; drone; depth camera; skeleton tracking; Autonom drift; följ mig-läget; drönare; djupkamera; skelettspårning;

    Sammanfattning : Technological instruments are used in sports to record and analyze data of performing athletes, in order to improve techniques and increase competitiveness. A method to allow for recording of data of a moving subject is by usage of a depth camera mounted on a drone that can track and follow a subject. LÄS MER

  7. 5. Evaluation of TDOA based Football Player’s Position Tracking Algorithm using Kalman Filter

    Master-uppsats, Blekinge Tekniska Högskola/Institutionen för tillämpad signalbehandling

    Författare :Srinivasa Rangarajan Mukhesh Kanduri; Vinay Kumar Reddy Medapati; [2018]
    Nyckelord :Gauss Newton method; Player Localization; Radio transmission; Single Point Localization; TDOA; Kalman filter; Wireless Sensor Network;

    Sammanfattning : Time Difference Of Arrival (TDOA) based position tracking technique is one of the pinnacles of sports tracking technology. Using radio frequency com-munication, advanced filtering techniques and various computation methods, the position of a moving player in a virtually created sports arena can be iden-tified using MATLAB. LÄS MER