Essays about: "exercise classification"

Showing result 1 - 5 of 17 essays containing the words exercise classification.

  1. 1. The association between obesity, low-grade inflammation, self-reported knee symptoms and radiographic knee osteoarthritis in individuals with knee pain : A longitudinal cohort study

    University essay from Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhet

    Author : Alma Buer; [2024]
    Keywords : osteoarthritis knee pain; artros knä smärta;

    Abstract : Abstract  Background One of the earliest signs of knee osteoarthritis (OA) is knee pain which correlates with inflammation and disease severity. Knee OA affects 260 million worldwide, and is in similarity with obesity, characterized by ongoing low-grade inflammation. READ MORE

  3. 2. Physical Exercise and Fatigue Detection using Machine Learning

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Filip Säterberg; Rasmus Nilsson; [2024]
    Keywords : Machine Learning; Fatigue Prediction; Data Collection; Supervised learning; Surface Electromyography; Accelerometers; Maskininlärning; Trötthetsförutsägelse; Datainsamling; Övervakad; Ytlig-elektromyografi Accelerometrar;

    Abstract : Monitoring of physical exercise is an important task to evaluate and adapt exercise to provide better exercise results. The Inno-X™ device, developed by Innowearable, is a device that can be used for such monitoring. It collects data using an accelerometer and sEMG sensor. READ MORE

  4. 3. Exploring State-of-the-Art Machine Learning Methods for Quantifying Exercise-induced Muscle Fatigue

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Abboud Afram; Danial Sarab Fard Sabet; [2023]
    Keywords : EMG; SEMG; STFT; CWT; SVM; CNN; GAN; DCGAN; BCE; SGD; deep learning; machine learning; muscle fatigue; DCGAN; spectrogram; CNN models; transfers learning; data augmentation; feature extraction;

    Abstract : Muscle fatigue is a severe problem for elite athletes, and this is due to the long resting times, which can vary. Various mechanisms can cause muscle fatigue which signifies that the specific muscle has reached its maximum force and cannot continue the task. READ MORE

  5. 4. Towards a feedback system for upper body bodyweight exercises using multiple inertial measurement units : A user-centred approach

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Panagiota Papadopoulou; [2023]
    Keywords : IMU sensors; bodyweight training; machine learning; real-time feedback; push-ups; tricep dips; plank;

    Abstract : This thesis explores the feasibility of developing an affordable and easy-to-use feed- back system that leverages information from multiple inertial measurement units (IMUs) to identify mistakes during upper body bodyweight training and provide real-time feedback to the user. To develop the system, a human-centered approach was used, which involved conducting semi-structured interviews with movement ex- perts and a workshop with targeted end-users to understand their needs. READ MORE

  6. 5. Exercise Classification with Machine Learning

    University essay from Högskolan i Halmstad/Akademin för informationsteknologi

    Author : Joel Ekstrand; [2023]
    Keywords : Machine learning; signal processing; noise reduction; feature extraction; exercise classification; machine learning; signalprocessering; brusreducering; feature extraction; rörelseklassificering;

    Abstract : Innowearable AB has developed a product called Inno-XTM that calculates musclefatigue during three exercises: squat jumps, wall sit, and leg extension. Inno-X uses an accelerometer and a surface electromyography sensor. READ MORE