Sökning: "Machine learning walking"

Visar resultat 1 - 5 av 31 uppsatser innehållade orden Machine learning walking.

1. 1. Quantum Reinforcement Learning for Sensor-Assisted Robot Navigation Tasks

   Master-uppsats, Lunds universitet/Fysiska institutionen

   Författare :Joyce Cobussen; [2023]
   Nyckelord :Physics and Astronomy;

   Sammanfattning : Quantum computing has advanced rapidly throughout the past decade, both from a hardware and software point of view. A variety of algorithms have been developed that are suitable for the current generation of quantum devices, which are referred to as noisy intermediate-scale quantum devices. LÄS MER

3. 2. Clustering on groups for human tracking with 3D LiDAR

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Simon Utterström; [2023]
   Nyckelord :Computer Vision; Computer Science; AI; Machine Learning; clustering; Kernel Density Clustering; tracking; LiDAR; 3D LiDAR; tracking; human; pedestrian; real time; Datavetenskap; Dataseende; clustering; SLR; CVC; KDEG; KDE; Kernel Density Clustering; HDBSCAN; DBSCAN; LiDAR; point cloud; tracking; human; pedestrian;

   Sammanfattning : 3D LiDAR people detection and tracking applications rely on extracting individual people from the point cloud for reliable tracking. A recurring problem for these applications is under-segmentation caused by people standing close or interacting with each other, which in turn causes the system to lose tracking. LÄS MER

4. 3. Optimisation of warehouse for second-hand items using Machine Learning

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

   Författare :Simon Osnes; [2023]
   Nyckelord :Second-hand; Machine Learning; Data Analysis; Feature Selection; Clustering; K-Means; Second-hand; Maskininlärning; Dataanalys; Urval av Attributer; Klustring; K-Means;

   Sammanfattning : Warehouse management and organisation often use the popularity of items to assign placements in the warehouse and predict sales. However, when dealing with only unique second-hand items another solution is needed. LÄS MER

5. 4. 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

7. 5. 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