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 31 for “"Fall Detection"”.
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Continuous Personalized Fall Detection and Data Collection
Falls are very real problems for elderly people. Falling is the leading cause of injury and death in older Americans according to the Centers for Disease Control and Prevention. Currently there is no software system for reliably detecting falls for elder people that is unobtrusive, affordable, and …
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A Study of Fall Detection: Review and Implementation
This thesis presents a research study on Fall detection with a comprehensive survey on available related literature and an evaluation experiment. Fall detection is a major challenge in the public health care domain, especially for the elderly, and reliable surveillance is a necessity to mitigate …
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MSTROKE: Methods of Fall Detection and Data Storage
… of disability in adults in the United States. Falls are preve- lant at all stages of recovery among post-stroke patients, and falls can cause serious or life threatening injuries. In this thesis, multiple fall detections methods are explored in order to minimize the faller’s wait time. This …
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An integrated sensor system for early fall detection
… information about patient's neuro activities. Fall among ages of 60 and older in US is a leading cause for injury-related health issues and present serious concern in the public health care sector. If the emergency treatments are not on time, these injuries may result in disability, paralysis, …
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Computer vision based posture estimation and fall detection.
Falls are a major health problem, especially in the elderly population. Increasing fall events demands a high quality of service and dedicated medical treatment which is an economic burden. Serious injuries due to fall can cost lives in the absence of immediate care and support. There- fore, a …
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Fall detection system using low cost computing and online communication
… OF MISSOURI-COLUMBIA AT AUTHOR'S REQUEST.] Falls are prevalent among elderly and sometime may result in fatal injuries, which impacts their ability of independent living. Thus, a reliable as well as cost effective fall detection system is required. We have developed an inexpensive fall …
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Design and Validation of a Fall Detection Application for iOS
<p>Despite significant preventative efforts, falls continue to be a major source of morbidity and mortality among the elderly. Additionally, the fear of falling can be a major obstacle to independent living for otherwise self-sufficient individuals. This fear is significantly heightened in …
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Development of a human fall detection system based on depth maps
… such as disable, overweight. Among them, human fall detection systems play an important role in our daily life, because fall is the main obstacle for elderly people to live independently and it is also a major health concern due to aging population. The three basic approaches used to develop …
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Investigation of the effects of body type on accelerometer based fall detection
… treatment based on a person's genetics. Could fall detection algorithms benefit from this type of personalized approach? This project analyzes accelerometer data containing falls and activities of daily living gathered from 16 stunt actors and 20 elderly volunteers as well as 22 falls from the …
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Vision-Based 3D Human Motion Analysis for Fall Detection and Bed-Exiting
<p>Fall is one of the most dangerous and costly accidents that threaten health of elderly people, and a large portion of falls occurs when a patient is trying to exit a bed. This thesis proposes two vision-based approaches for general fall detection and bed-exiting detection for elderly people, …
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Development of a Machine Learning Based Fall Detection System for the Elderly and Disabled
Fall accidents from accidental injury are considered one of the significant global public health concerns, and the largest proportion of fatal accidents are experienced by elderly people. Currently, there is a demand for creating an effective machine learning-based fall detection system that is …
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Insights on an automated fall detection device designed for older adult wheelchair and scooter users: a qualitative study
… ease of use and perceived usefulness of a fall detection device (FDD) among 15 older adults who use wheelchairs and scooters through remote semi-structured interviews. Participants (mean age: 67.5 4.7 years) lived with a variety of disabilities including multiple sclerosis, cerebral …
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How to build better fall detection technology : a search for characteristics unique to falls and methods to robustly evaluate performance
Falls can have severe consequences for older adults, such as bone fractures and long periods unable to get up from the ground, known as a long-lie. The capability to automatically detect falls would reduce long-lies through ensuring prompt arrival of assistance and would be valuable in fall risk …
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Development of a Healthcare Software System for the Elderly
… on the implementation of a reliable intelligent fall detection system so as to reduce accidental falls among the elderly people. A video-based detection system was used because it preserved privacy while monitoring the activities of the senior citizens. Another advantage of the video-based system …
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Computer Vision Algorithms for Mobile Camera Applications
… presented in the thesis are: (i) activity detection and step counting from wearable cameras, (ii) door detection for indoor navigation of unmanned vehicles, and (iii) traffic sign detection from vehicle-mounted cameras.</p> <p>First, we present a fall detection and activity classification …
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Ambulatory Fall Event Detection with Integrative Ambulatory Measurement (IAM) Framework
Injuries associated with fall accidents pose a significant health problem to society, both in terms of human suffering and economic losses. Existing fall intervention approaches are facing various limitations. This dissertation presented an effort to advance indirect type of injury prevention …
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Improving the Use of Mobile Medical Alert Devices in the Elderly
Background In relation to falls, 30% of elders experience the danger of an inability to return to get back up (Taylor et al., 2016). This critical period is called a “long-lie,” and can result in catastrophic medical complications such as dehydration, internal bleeding, pressure sores, …
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Exploration of the effectiveness of Apple ios devices and bluetooth low-energy nodes in the evaulation of stroke patient rehabilitation and recovery
… to handle the user positioning and cheating detection requirements of the Functional Reach Test (FRT), efficient scoring of the National Institutes of Health Stroke Scale (NIHSS) motor arm exams, and real-time fall detection monitoring.
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Implementation and Evaluation of an Android Accessor-based IoT Middleware
… consumption and memory utilization using a Fall-detection IoT application. We also demonstrated the reusability of accessors for heterogeneous IoT devices.
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