Sökning: "Exercise Machine"

Visar resultat 1 - 5 av 55 uppsatser innehållade orden Exercise Machine.

1. 1. Physical Exercise and Fatigue Detection using Machine Learning

   Uppsats för yrkesexamina på grundnivå, Högskolan i Halmstad/Akademin för informationsteknologi

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

   Sammanfattning : 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. LÄS MER

3. 2. Developing a portable, customizable, single-channel EEG device for homecare and validating it against a commercial EEG device

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Máté Károly Tóth; [2023]
   Nyckelord :Electroencephalography EEG ; Portable EEG; Single-channel EEG; Commercial EEG; Brain-machine interface; Prototype development; Elektroencefalografi EEG ; Bärbar EEG; Enkanaligt EEG; Kommersiellt EEG; Hjärna-maskin-gränssnitt; Prototyputveckling;

   Sammanfattning : There are several commercial electroencephalography (EEG) devices on the market; however, affordable devices are not versatile for diverse research applications. The purpose of this project was to investigate how to develop a low-cost, portable, single-channel EEG system for a research institute that could be used for neurofeedback-related applications in homecare. LÄS MER

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

   Uppsats för yrkesexamina på avancerad nivå, Högskolan i Halmstad/Akademin för informationsteknologi

   Författare :Abboud Afram; Danial Sarab Fard Sabet; [2023]
   Nyckelord :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;

   Sammanfattning : 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. LÄS MER

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

   Master-uppsats, KTH/Medicinteknik och hälsosystem

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

   Sammanfattning : 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. LÄS MER

7. 5. Acute Testosterone Changes in Response to Machines and Free Weights ResistanceExercise: A Systematic Review

   Magister-uppsats,

   Författare :josef farah; [2023]
   Nyckelord :;

   Sammanfattning : Introduction: Testosterone is an anabolic steroid that plays key roles in growing muscles, enhancing physical performance and appearance, maintaining bone density, sex drive and sperm production. It is highly sought-after by athletes for its ability to accelerate muscle growth. LÄS MER