Essays about: "Feature Extraction"

Showing result 26 - 30 of 312 essays containing the words Feature Extraction.

  1. 26. 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

  3. 27. Parkinson’s disease tremor assessment: Leveragingsmartphones for symptom measurement

    University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Author : Malek Abdul Sater; Reem Mohamed; [2023]
    Keywords : ;

    Abstract : Parkinson's disease (PD) is a progressive, chronic neurodegenerative disorder that impacts patients' quality of life. Hand tremor is a hallmark motor symptom of PD. However, current clinical tremor assessment methods are time-consuming and expensive and may not capture the full extent of tremor fluctuations. READ MORE

  4. 28. Information Extraction from Invoices using Graph Neural Networks

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Tuoyuan Tan; [2023]
    Keywords : Natural Language Processing; Information Extraction; Graph Neural Networks; Invoice; Behandling av naturligt språk; informationsutvinning; grafiska neurala nätverk; faktura;

    Abstract : Information Extraction is a sub-field of Natural Language Processing that aims to extract structured data from unstructured sources. With the progress in digitization, extracting key information like account number, gross amount, etc. from business invoices becomes an interesting problem in both industry and academy. READ MORE

  5. 29. Comparison of CNN and LSTM for classifying short musical samples

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Tore Nylén; Victor Stenmark; [2023]
    Keywords : ;

    Abstract : Applying machine learning to music and audio data is becoming increasingly common. One such area of research is instrument classification, which is the task of identifying the instrument played in a given audio file. In this study, we compared two machine learning model types, LSTM and CNN, on the task of classifying ten different instruments. READ MORE

  6. 30. EEG-Based Speech Decoding Using a Machine Learning Pipeline

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Julia Önerud; [2023]
    Keywords : EEG; EEG-Decoding; Speech-like; Neuro; Neurotech; Machine-learning; SVM; Feature Extraction; Feature Selection; Mentalab; Inner Speech; OVR; Baseline-Correction; State-of-the-art; State-of-the-art Accuracy; Directions; Emotions;

    Abstract : his project aims to find a method that will help fill the information gaps in electroencephalography (EEG) brain-computer interfaces (BCI) research, by creating a pipeline method that allows for quicker research iterations than current state-of-the-art methods. The pipeline method is a multi-step processstarting from the recording EEG data from a subject performing a thought paradigm action, continuing with processing and decoding of the data, and ending with visualization and analysis the decoded results. READ MORE