Sökning: "wearable sensors"
Visar resultat 1 - 5 av 53 uppsatser innehållade orden wearable sensors.
1. Wrist Angle Estimation Using Two Wearable Inertial Measurement Units
Master-uppsats, KTH/Medicinteknik och hälsosystemSammanfattning : 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. LÄS MER
2. Detection of Abnormalities in Cardiac Rhythm Using Spiking Neural Networks
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : Artificial Intelligence (AI) and Machine Learning (ML) have been increasingly attracting attentions in many different fields. Healthcare is one of the areas that has greatly benefited from the advances in AI/ML. LÄS MER
3. Design and development of an interface between the user and the tendo device
Master-uppsats, Lunds universitet/InnovationSammanfattning : When a↵ected by a high spinal cord injury the first wish is to regain the ability to walk. However, in a short matter of time, the wish to use the hands increases and is considered the most desired ability to recover. LÄS MER
4. Improving Objectivity and Reliability of Observational Risk Assessment Tools by using Technical Instruments
Master-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)Sammanfattning : Ergonomic assessments to determine risks of work-related musculoskeletal disorders as well as to compare designs of work-tasks and workstations, are imperative for high sustainability and productivity in any given industry. Hence, assessment tools that can objectively and reliably capture postures, joint angles and muscle activities play very important role in properly determining risks relating to work and various tasks. LÄS MER
5. Human Activity Recognition Models and Step Counter With Smartphone Sensor Data
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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