Sökning: "Human Activity Recognition"

Visar resultat 1 - 5 av 55 uppsatser innehållade orden Human Activity Recognition.

1. 1. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition

   Master-uppsats, KTH/Mekatronik och inbyggda styrsystem

   Författare :Helgi Hrafn Björnsson; Jón Kaldal; [2023]
   Nyckelord :Recurrent Neural Networks; Long Short-Term Memory Networks; Embedded Systems; Human Activity Recognition; Edge AI; TensorFlow Lite Micro; Recurrent Neural Networks; Long Short-Term Memory Networks; Innbyggda systyem; Mänsklig aktivitetsigenkänning; Edge AI; TensorFlow Lite Micro;

   Sammanfattning : Human activity data is typically represented as time series data, and RNNs, often with LSTM cells, are commonly used for recognition in this field. However, RNNs and LSTM-RNNs are often too resource-intensive for real-time applications on resource constrained devices, making them unsuitable. LÄS MER

3. 2. Human Activity Recognition Models and Step Counter With Smartphone Sensor Data

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

   Författare :Josef Afreim; Simon Bossér; [2023]
   Nyckelord :;

   Sammanfattning : In this time of technology, with the availability of wearable sensors and copiousamounts of cheap data, new uses of machine learning emerge. Tasks that were previouslyheld-back by a lack of data and computation power are today more feasible and useful thanever. Human activity recognition (HAR) is one such task. 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. Analysis of Data from a Smart Home Research Environment

   M1-uppsats, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Patrik Guthenberg; [2022]
   Nyckelord :labeled datasets; activity recognition; fall detection; iMotions; WideFind; H2Al; kNN;

   Sammanfattning : This thesis projects presents a system for gathering and using data in the context of a smarthome research enviroment. The system was developed at the Human Health and ActivityLaborty, H2Al, at Luleå University of Technology and consists of two distinct parts. First, a data export application that runs in the H2Al enviroment. LÄS MER

7. 5. Non-Bayesian Out-of-Distribution Detection Applied to CNN Architectures for Human Activity Recognition

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

   Författare :Serghei Socolovschi; [2022]
   Nyckelord :Human Activity Recognition; Deep Learning; Time Series; Uncertainty Estimation; Outofdistribution Detection; Convolutional Neural Network; Human Activity Recognition; Deep Learning; Tidsserie; Uppskattning av Osäkerheten; Outofdistribution Detection; Convolutional Neural Network;

   Sammanfattning : Human Activity Recognition (HAR) field studies the application of artificial intelligence methods for the identification of activities performed by people. Many applications of HAR in healthcare and sports require the safety-critical performance of the predictive models. LÄS MER