Essays about: "Motion estimation algorithms"

Showing result 1 - 5 of 45 essays containing the words Motion estimation algorithms.

  1. 1. Wrist Angle Estimation Using Two Wearable Inertial Measurement Units

    University essay from KTH/Medicinteknik och hälsosystem

    Author : Arvin Razavi; [2023]
    Keywords : IMU wrist angle estimation; Wrist absolute angle; IMU-based human motion capture; orientation filter; Complementary filter; Kalman filter; IMU handledsvinkeluppskattning; handleds absolutvinkel; IMU-baserad mänsklig rörelsefångst; orienteringsfilter; komplementfilter; Kalman-filter;

    Abstract : Hand-intensive work is closely related to the prevalence of upper body and hand/wrist work-related musculoskeletal disorders (WMSDs) in office work, manufacturing, service industries, as well as the healthcare industry. Some risk factors include vibrations, forceful exertions, heavy manual handling, repetitive motions, and prolonged nonneutral wrist postures. READ MORE

  3. 2. Optimization of b-value Acquisition and Parameter Estimation of Intravoxel Incoherent Motion Measurements

    University essay from Lunds universitet/Sjukhusfysikerutbildningen

    Author : Ivan Rashid; [2023]
    Keywords : Medicine and Health Sciences;

    Abstract : Radiotherapy is commonly used for cancer treatment, given to approximately half of all cancer patients in Sweden. Despite its widespread usage, there is currently no non-invasive and reliable imaging method that can identify regions of radiation resistance. READ MORE

  4. 3. Jointly Ego Motion and Road Geometry Estimation for Advanced Driver Assistance Systems

    University essay from Linköpings universitet/Reglerteknik

    Author : Jawaria Asghar; [2021]
    Keywords : autonomous car; ego-vehicle; road geometry; estimation; Advanced Driver Assistance Systems; sensor fusion; Unscented Kalman Filter.;

    Abstract : For several years, there has been a remarkable increase in efforts to develop an autonomous car. Autonomous car systems combine various techniques of recognizing the environment with the help of the sensors and could drastically bring down the number of accidents on road by removing human conduct errors related to driver inattention and poor driving choices. READ MORE

  5. 4. Applying Deep Learning To Improve Optimization- Based Approaches For Robust Sensor Fusion

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

    Author : Pernilla Wikström; [2021]
    Keywords : Inertial Measurement Unit; Zero Velocity UPdaTes; Temporal Convolutional Network; PoseGraph Optimization; Inertial Measurement Unit; Zero Velocity UPdaTes; Temporal Convolutional Network; Optimering av GrafBaserad Positionering;

    Abstract : Recent studies show that deep learning can be employed to learn from sensor data to improve accuracy and robustness of sensor fusion algorithms. In the same vein, in this thesis we use a state-of-the-art temporal convolution network to predict zero velocity updates (ZUPT) from raw inertial measurement unit (IMU) signals, and use the network output to improve the performance of an optimization-based pose estimator. READ MORE

  6. 5. Evaluation of Tracking Filters for Tracking of Manoeuvring Targets

    University essay from Linköpings universitet/Reglerteknik

    Author : Ludvig Junler; [2020]
    Keywords : Interacting multiple model; Kalman filter; Target tracking;

    Abstract : This thesis evaluates different solutions to the target tracking problem with the use of airborne radar measurements. The purpose of this report is to present and compare options that can improve the tracking performance when the target is performing various manoeuvres while the radar measurements are noisy. READ MORE