Sökning: "fall detection"

Visar resultat 1 - 5 av 124 avhandlingar innehållade orden fall detection.

1. 1. Remote Monitoring and Automatic Fall Detection for Elderly People at Home

   Författare :Gregory Koshmak; Maria Linden; Blerim Emruli; Mälardalens högskola; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; remote monitoring; aging population; fall detection; Computer Science; datavetenskap;

   Sammanfattning : Aging population is a one of the key problems for the vast majority of so called "more economically developed countries" (MEDC). The amount of elderly people who suffer from multiple disease and require permanent monitoring of their vital parameters has increased recently resulting in extra healthcare costs. LÄS MER

3. 2. Detection for multiple input multiple output channels : analysis of sphere decoding and semidefinite relaxation

   Författare :Joakim Jaldén; Björn Ottersten; Zhi-Quan Luo; KTH; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Telekommunications; MIMO; Detection; Sphere Decoder; Semidefinite Relaxation; Telecommunication; Telekommunikation;

   Sammanfattning : The problem of detecting a vector of symbols, drawn from a finite alphabet and transmitted over a multiple-input multiple-output (MIMO) channel with Gaussian noise, is of central importance in digital communications and is encountered in several different applications. Examples include, but are not limited to; detection of symbols spatially multiplexed over a multiple-antenna channel and the multiuser detection problem in a code division multiple access (CDMA) system. LÄS MER

4. 3. Machine Learning Methods for Image Analysis in Medical Applications, from Alzheimer's Disease, Brain Tumors, to Assisted Living

   Författare :Chenjie Ge; Chalmers tekniska högskola; []
   Nyckelord :MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; MEDICIN OCH HÄLSOVETENSKAP; MEDICAL AND HEALTH SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; convolutional neural networks; Alzheimer s disease detection; machine learning; deep learning; fall detection; glioma subtype classification; generative adversarial networks; recurrent convolutional networks; spiking neural networks; visual prosthesis; semi-supervised learning;

   Sammanfattning : Healthcare has progressed greatly nowadays owing to technological advances, where machine learning plays an important role in processing and analyzing a large amount of medical data. This thesis investigates four healthcare-related issues (Alzheimer's disease detection, glioma classification, human fall detection, and obstacle avoidance in prosthetic vision), where the underlying methodologies are associated with machine learning and computer vision. LÄS MER

5. 4. Enzyme-Based Amperometric Biosensors in Flow-Systems for Biomolecule Detection

   Författare :Niklas Larsson; Centrum för analys och syntes; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Microdialysis; Liquid chromatography; Flow injection; Polyelectrolytes; Carbohydrate; Mediator; Dehydrogenase; Peroxidase; Oxidase; Enzyme; Amperometric detection; Carbon paste; Biosensor; Graphite electrode; On-line monitoring; Analytical chemistry; Analytisk kemi;

   Sammanfattning : Amperometric enzyme based biosensors were designed, developed and characterised in flow systems. Solid graphite and carbon paste electrodes were used as support for enzyme immobilisation. Both mediated and direct electron transfers between redox enzymes and electrodes were utilised for biosensor construction, as well as coupled enzyme systems. LÄS MER

7. 5. Riemannian Manifold-Based Modeling and Classification Methods for Video Activities with Applications to Assisted Living and Smart Home

   Författare :Yixiao Yun; Chalmers tekniska högskola; []
   Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; assisted living; Riemannian manifold; fall detection; smart homes; activities of daily living ADL ; video tracking; activity classification;

   Sammanfattning : This thesis mainly focuses on visual-information based daily activity classification, anomaly detection, and video tracking through using visual sensors. The main reasons for adopting visual-information based methods are due to: (i) vision plays a major role in recognition/classification of activities which is a fundamental issue in a human-centric system; (ii) visual sensor-based analysis may possibly offer high performance with minimum disturbance to individuals' daily lives. LÄS MER