Essays about: "human activity recognition"

Showing result 11 - 15 of 53 essays containing the words human activity recognition.

  1. 11. Automated Recognition of Human Activity : A Practical Perspective of the State of Research

    University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

    Author : Hampus Hansson; Martin Gyllström; [2021]
    Keywords : Human activity recognition;

    Abstract : The rapid development of sensor technology in smartphone and wearable devices has led research to the area of human activity recognition (HAR). As a phase in HAR, applying classification models to collected sensor data is well-researched, and many of the different models can recognize activities successfully. READ MORE

  3. 12. Using Machine Learning for Activity Recognition in Running Exercise

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

    Author : Patrik Svensson; Erik Wendel; [2021]
    Keywords : Activity recognition; HAR; accelerometer; SVM; CNN; mobile sensor;

    Abstract : Human activity recognition (HAR) is a growing area within machine learning as the possible applications are vast, especially with the growing amount of collectable sensor data as Internet of Things-devices are becoming more accessible. This project aims to contribute to HAR by developing two supervised machine learning algorithms that are able to distinguish between four different human activities. READ MORE

  4. 13. Neural Ordinary Differential Equations for Anomaly Detection

    University essay from KTH/Matematisk statistik

    Author : Jón Hlöðver Friðriksson; Erik Ågren; [2021]
    Keywords : Anomaly detection; Neural ordinary differential equations; Statistical modelling; Autoregression; Variational autoencoder; Multivariate time series; Anomalidetektion; Neurala ordinära differentialekvationer; Statistisk modellering; Autoregression; Variational autoencoder; Multivariat tidsserie;

    Abstract : Today, a large amount of time series data is being produced from a variety of different devices such as smart speakers, cell phones and vehicles. This data can be used to make inferences and predictions. Neural network based methods are among one of the most popular ways to model time series data. READ MORE

  5. 14. Activity Recogniton Using Accelerometer and Gyroscope Data From Pocket-Worn Smartphones

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

    Author : Oskar Söderberg; Oscar Blommegård; [2021]
    Keywords : Activity Recognition; Accelerometer; Gyroscope; Data collection; Data Preprocessing; Feature Selection; ANN; SVM;

    Abstract : Human Activity Recognition (HAR) is a widelyresearched field that has gained importance due to recentadvancements in sensor technology and machine learning. InHAR, sensors are used to identify the activity that a person is performing. READ MORE

  6. 15. Monitoring Human Activity Patterns in Linnaean Botanical Gardens using Machine Learning

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Reuben Sajith Rajkumar; [2021]
    Keywords : ;

    Abstract : Urbanisation in this fast-paced world although possessing some lucrative advantages causes some serious problems to its inhabitants. Green spaces are important in highly urbanised societies for adequate restoration of mental health and physical well being. This study focuses on understanding people’s behaviour in green spaces. READ MORE