Essays about: "human activity recognition"

Showing result 21 - 25 of 53 essays containing the words human activity recognition.

1. 21. A Framework for Monitoring Data from a Smart Home Environment

   University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Author : Martin Persson; [2020]
   Keywords : smart home; digital infrastructure; sensor management;

   Abstract : This master thesis presents the design and implementation of a framework for monitoringdata related to activities of daily living (ADL) in a smart home environment, conducted for theHuman Health and Activity Laboratory (H2Al) at Luleå University of Technology. The generalaim of such environments is to increase the quality of life by enabling elderly to live longer athome while reducing the consumption of resources necessary. READ MORE

3. 22. Machine Learning for the Prevention of Injuries in the Construction Industry

   University essay from Lunds universitet/Innovationsteknik

   Author : Sarah Johannesson; Johanna Ögren; [2020]
   Keywords : machine learning; Random Forest; Human Activity Recognition; construction industry; digitalization; privacy; Technology and Engineering;

   Abstract : The Swedish construction industry is subject to a high rate of occupational injuries, where overload factors are a significant cause. Through Human Activity Recognition, movement data can be collected and analyzed, enabling the identification of harmful movement patterns with the use of machine learning. READ MORE

4. 23. How can machine learning help identify cheating behaviours in physical activity-based mobile applications?

   University essay from Malmö universitet/Fakulteten för teknik och samhälle (TS)

   Author : Elina Kock; Yamma Sarwari; [2020]
   Keywords : machine learning; human activity recognition; HAR; smartphone; mobile games; cheating;

   Abstract : Den här studien undersöker möjligheten att använda sig utav Human Activity Recognition (HAR) i ett mobilspel, Bamblup, som använder sig utav fysiska rörelser för att upptäcka om en spelare fuskar eller om denne verkligen utför den verkliga aktiviteten. Sensordata från en accelerometer och ett gyroskop i en iPhone 7 användes för att samla data från olika människor som utförde ett antal aktiviteter utav intresse. READ MORE

5. 24. Visualization and Classification of Neurological Status with Tensor Decomposition and Machine Learning

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Thi Pham; [2019]
   Keywords : Stress assessment; physiological signals; biosensors; tensor decomposition; feature visualization; machine learning;

   Abstract : Recognition of physical and mental responses to stress is important for stress assessment and management as its negative effects in health can be prevented or reduced. Wearable technology, mainly using electroencephalogram (EEG), provides information such as tracking fitness activity, disease detection, and monitoring neurologicalstates of individuals. READ MORE

6. 25. Human Activity Recognition : Deep learning techniques for an upper body exercise classification system

   University essay from Högskolan Kristianstad/Fakulteten för naturvetenskap

   Author : Paolo Nardi; [2019]
   Keywords : Human Activity Recognition; Deep Learning; Machine Learning; Exercise Classification; Convolutional Neural Network;

   Abstract : Most research behind the use of Machine Learning models in the field of Human Activity Recognition focuses mainly on the classification of daily human activities and aerobic exercises. In this study, we focus on the use of 1 accelerometer and 2 gyroscope sensors to build a Deep Learning classifier to recognise 5 different strength exercises, as well as a null class. READ MORE