Essays about: "Accelerometer devices"
Showing result 1 - 5 of 38 essays containing the words Accelerometer devices.
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1. Enhancing GNSS Precision for Mobile Devices with Sensor Fusion Techniques: A Case Study on eBike Tracking Using State Estimation
University essay from Lunds universitet/Institutionen för reglerteknikAbstract : Electric bicycles have over time become a common method of transportation. With a rapidly increasing user base and expensive prices, there is also an increasing demand for safety and insurance. Bike safety can be used to notify the bicycle owner of a potential theft, or to locate the position of the bike when it is lost. READ MORE
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2. Artificial Electronic Nurse : An IoT Based Health Monitoring System
University essay from Blekinge Tekniska Högskola/Institutionen för matematik och naturvetenskapAbstract : Context. Generally, health monitoring systems are used in hospitals, which are pricey and gigantic. But with the up gradation of sensors and modules, these devices are also available in portable sizes. These devices are divided into different types according to the disease. READ MORE
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3. 2D Orientation Estimation Using Machine Learning With Multiple 5G Base Stations
University essay from Linköpings universitet/Reglerteknik; Linköpings universitet/Tekniska fakultetenAbstract : Localization of mobile devices has implications on a multitude of use cases such as estimating the location of the user originating an emergency call, localization of devices to enable autonomous operation required by industrial Internet of Things (IoT) use cases, etc. In futuristic use cases such as Augmented Reality (AR), Virtual Reality (VR), Extended Reality (XR), autonomous navigation of Unmanned Aerial Vehicles (UAVs), we will require the capability of estimating orientation in addition to position of such devices for efficient and effective provisioning of these services to the end-users. READ MORE
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4. Using Machine Learning for Activity Recognition in Running Exercise
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)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
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5. IoT smart athletics : Boxing glove sensors implementing machine learning for an integrated training solution
University essay from Högskolan Kristianstad/Fakulteten för naturvetenskapAbstract : It is very common in everyday life for people to use data generated by sensors like accelerometers and gyroscopes, whether they are on the mobile phone, smartwatch or other smart devices, for analysis of their movement or tracking their habits. This study is focused on boxing, and proposes a test where the generated data are put through machine learning algorithms in order to output information on the type of punch thrown by the user. READ MORE