Sökning: "Machine learning cycling"

Visar resultat 1 - 5 av 8 uppsatser innehållade orden Machine learning cycling.

  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. MISK-Moves

    Kandidat-uppsats, Lunds universitet/Certec - Rehabiliteringsteknik och Design

    Författare :Bo Elovson Grey; [2023]
    Nyckelord :MISK; machine learning; ResNet-18; NVIDIA Jetson Nano; system-on-module; Certec; Furuboda KompetensCenter; Eldorado resurcenter; pose estimation; object detection; object tracking; Raspberry Pi V2 camera; Max 8; Technology and Engineering;

    Sammanfattning : Move-to-play is a musical instrument for persons with both cognitive and physical impairments, who would have trouble playing traditional instruments. Everyone, no matter their abilities, are given the chance to play and control music by moving their own body. LÄS MER

  4. 3. Smartphone Sensor Data for Physical Activity Monitoring and Analysis

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

    Författare :Ivy Liu; Sebastian Hinze; [2023]
    Nyckelord :;

    Sammanfattning : As awareness of health risks associated with a sedentary lifestyle is raised, the demands fortechnological tools to help track one’s physical activity levels grow as well. A technologicalconcept that could be used to aid in this issue is human activity recognition (HAR), whichmaps signal data to recognisable human activity. LÄS MER

  5. 4. Prognostics for Condition Based Maintenance of Electrical Control Units Using On-Board Sensors and Machine Learning

    Master-uppsats, Linköpings universitet/Fordonssystem

    Författare :Gabriel Fredriksson; [2022]
    Nyckelord :machine learning; random forest; random survival forest; condition based maintenance; cbm; reliability; solder joint failure; thermomechanical cycling; ECU; lifetime prediction; data-driven; statistics; BGA; PCBA; field quality; maintenance; truck; bus; vehicle;

    Sammanfattning : In this thesis it has been studied how operational and workshop data can be used to improve the handling of field quality (FQ) issues for electronic units. This was done by analysing how failure rates can be predicted, how failure mechanisms can be detected and how data-based lifetime models could be developed. LÄS MER

  7. 5. Step Counter and Activity Recognition Using Smartphone IMUs

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

    Författare :Anton Israelsson; Max Strandell; [2022]
    Nyckelord :Step Counting; Human Activity Recognition; IMU; Smartphone;

    Sammanfattning : Fitness tracking is a rapidly growing market as more people desire to take better control over their lives. And the growing availability of smartphones with sensitive sensors makes it possible for anyone to take part. LÄS MER