Essays about: "human activity recognition"
Showing result 16 - 20 of 53 essays containing the words human activity recognition.
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16. Activity Recognition Using IoT and Machine Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Internet of Things devices, such as smartphonesand smartwatches, are currently becoming widely accessible andprogressively advanced. As the use of these devices steadilyincreases, so does the access to large amounts of sensory data. READ MORE
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17. Activity Recognition Using Supervised Machine Learning and GPS Sensors
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Human Activity Recognition has become a popular research topic among data scientists. Over the years, multiple studies regarding humans and their daily motion habits have been investigated for many different purposes. READ MORE
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18. Gauntlet-X1: Smart Glove System for American Sign Language translation using Hand Activity Recognition
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The most common forms of Human Computer Interaction (HCI) devices these dayslike the keyboard, mouse and touch interfaces, are limited to working on atwo-dimensional (2-D) surface, and thus do not provide complete freedom ofaccessibility using our hands. With the vast number of gestures a hand can perform,including the different combinations of motion of fingers, wrist and elbow, we canmake accessibility and interaction with the digital environment much more simplified,without restrictions to the physical surface. READ MORE
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19. Real Time Gym Activity Detection using Monocular RGB Camera
University essay from Högskolan i Halmstad/Akademin för informationsteknologiAbstract : Action detection is an attractive area for researchers in computer vision, healthcare, physiotherapy, psychology, and others. Intensive work has been done in this area due to its wide range of applications such as security surveillance, video tagging, Human-Computer Interaction (HCI), robotics, medical diagnosis, sports analysis, interactive gaming, and many others. READ MORE
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20. Deep Learning Approach for Extracting Heart Rate Variability from a Photoplethysmographic Signal
University essay from Högskolan Kristianstad/Fakulteten för naturvetenskapAbstract : Photoplethysmography (PPG) is a method to detect blood volume changes in every heartbeat. The peaks in the PPG signal corresponds to the electrical impulses sent by the heart. The duration between each heartbeat varies, and these variances are better known as heart rate variability (HRV). READ MORE