Essays about: "mänsklig rörelse"
Showing result 1 - 5 of 32 essays containing the words mänsklig rörelse.
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1. Exploration and Evaluation of RNN Models on Low-Resource Embedded Devices for Human Activity Recognition
University essay from KTH/Mekatronik och inbyggda styrsystemAbstract : 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. READ MORE
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2. Enhancing Long-Term Human Motion Forecasting using Quantization-based Modelling. : Integrating Attention and Correlation for 3D Motion Prediction
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : This thesis focuses on addressing the limitations of existing human motion prediction models by extending the prediction horizon to very long-term forecasts. The objective is to develop a model that achieves one of the best stable prediction horizons in the field, providing accurate predictions without significant error increase over time. READ MORE
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3. Tic-Tac-Toe Robot : Automated Tic-Tac-Toe Game With Robotic Control
University essay from KTH/Skolan för industriell teknik och management (ITM)Abstract : This thesis covers the design, construction and programming of an automated tic-tac-toe game with robotic control and image processing. Research shows that robotic systems, over time, have transitioned from manufacturing tools to service tools with a large focus on human interaction, a central aspect- of this project. READ MORE
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4. Prevalensen av rörelseasymmetrier hos föl : en jämförelse mellan ridhästföl och travhästföl
University essay from SLU/Dept. of Anatomy, Physiology and BiochemistryAbstract : Ortopediska skador är ett vanligt problem hos sporthästar, ofta med hälta som följd. Tidigare studier har observerat att hästar som anses friska av ägaren ofta har ett asymmetriskt rörelsemönster som vid en objektiv bedömning bedöms som hälta. READ MORE
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5. Multimodal Machine Learning in Human Motion Analysis
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Currently, most long-term human motion classification and prediction tasks are driven by spatio-temporal data of the human trunk. In addition, data with multiple modalities can change idiosyncratically with human motion, such as electromyography (EMG) of specific muscles and respiratory rhythm. READ MORE