Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 433 for “"Human activity"”.
-
Human Activity Analysis
… with higher resolution and frame-rates. Humans are often the focus of these videos, making human motion analysis an important field. This thesis explores the level of detail necessary to distinguish human activities for tasks of regression, like body tracking, and activity …
-
Human Activity Recognition using Hearing Aids
As people age, monitoring physical activity becomes increasingly important for assessing and maintaining health. Wearable devices are a promising means of accomplishing this measurement since they are unobtrusive, portable, and accessible. This thesis investigates the feasibility of using hearing …
-
Human activity analysis using radio signals
… on seeing them. Automating the process of human action recognition and event captioning from visual data has been the topic of much research in the computer vision community. But what if it is too dark, or if the person is occluded or behind a wall? This thesis develops a model that can …
-
The role of representations in human activity recognition
… the role of representations in sensor based human activity recognition (HAR). In particular, we develop convolutional and recurrent autoencoder architectures for feature learning and compare their performance to a distribution-based representation as well as a supervised deep learning …
-
Device-Free WiFi Sensing for Human Activity Recognition
Human activity recognition (HAR) using WiFi signals (WiFi-based HAR) has drawn considerable interest from the research community. In contrast to traditional device-based sensing techniques, WiFi-based HAR possesses several advantages, including convenience, wide availability, and privacy …
-
Self-supervised Learning for IMU-based Human Activity Recognition
In recent years, human activity recognition has drawn considerable attention due to its application in a variety of areas such as smart homes and health. The pervasiveness of wearable devices and smartphones has provided many research opportunities for human activity recognition using inertial …
-
Human activity recognition and gymnastics analysis through depth imagery
… of computer vision, such as object recognition, human detection, human activity recognition, and sports analysis. The goal of my work is twofold: (1) use depth imagery to effectively analyze the pommel horse event in men’s gymnastics, and (2) explore and build upon the use of depth imagery to …
-
Exploring human activity behavior and mobility data in carpooling
The analysis of human movements has been the subject of several studies since the 70s. In recent years, the exponential growth of location aware devices must allow the study of the behavior of the individuals’ mobility from their trajectories collected. However, a significant part of the available …
-
Self-supervised learning for data-efficient human activity recognition
… into user behaviours. Within mobile sensing, human activity recognition is a fundamental task that aims to identify users' physical actions. Motivated by advancements in deep learning, human activity recognition research has also widely adopted these methods. However, compared to other data …
-
NEURO-SYMBOLIC AI APPROACHES FOR SENSOR-BASED HUMAN ACTIVITY RECOGNITION
Sensor-based Human Activity Recognition (HAR) is an active research area, with relevant applications in healthcare and well-being. Deep Learning (DL) classifiers are currently the leading approach to tackle HAR, but their deployment is often limited by their inherent opacity and the scarcity of …
-
Human Activity Analytics Based on Mobility and Social Media Data
… data, in order to provide further insights on human activity patterns. In this thesis, we present a novel method for analyzing and geolocalizing non-geotagged Twitter posts. The proposed method is the rst to do so at the ne-grain of city neighborhoods, while being both eective and time ecient. …
-
Cognitive Human Activity and Plan Recognition for Human-Robot Collaboration
… Consequently, there is an emerging need for humans and robots to work together. Human-robot collaboration has become an important topic in various domains, such as home assistance and manufacturing. For effective collaboration, robots must be able to recognize human activity and plan, while …
-
The environmental context of later prehistoric human activity in Orkney, Scotland
… concepts of marginality and the response of human populations to changing environmental conditions in prehistoric Orkney. Archaeological remains from the Orcadian Bronze Age are less visible than those from the Neolithic and Iron Age, leading to suggestions that the Neolithic-Bronze Age …
-
Alternative housing designs that facilitate human activity at four density situations.
Massachusetts Institute of Technology. Dept. of Architecture. Thesis. 1972. M.Arch.A.S.
-
Development and Assessment of Smart Textile Systems for Human Activity Classification
… An emerging technology for physical activity assessment is Smart Textile Systems (STSs), comprised of sensitive/actuating fiber, yarn, or fabric that can sense an external stimulus. All required components of an STS (sensors, electronics, energy supply, etc.) can be conveniently …
-
COLLABORATIVE APPROACHES FOR SENSOR-BASED HUMAN ACTIVITY RECOGNITION IN DATA SCARCITY SCENARIOS
One of the most important goals of Human Activity Recognition (HAR) is to automatically obtain information on the behaviors of the users to proactively assist them with their tasks. In the literature, the majority of physical activity recognition approaches rely on fully- supervised techniques to …
-
Interpreting human activity from electrical consumption data through non-intrusive load monitoring
… signal. Third, it provides awareness of human activity within a network. Each device has an electrical fingerprint, and specific devices imply associated human actions. From voltage and current measurements at a single point on the network, non-intrusive load monitoring (NILM) …
-
HUMAN ACTIVITY RECOGNITION FROM EGOCENTRIC VIDEOS AND ROBUSTNESS ANALYSIS OF DEEP NEURAL NETWORKS
… has been significant amount of research work on human activity classification relying either on Inertial Measurement Unit (IMU) data or data from static cameras providing a third-person view. There has been relatively less work using wearable cameras, providing egocentric view, which is a …
Page 1 of 22