scholarly journals Development of a Wearable-Sensor-Based Fall Detection System

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
Falin Wu ◽  
Hengyang Zhao ◽  
Yan Zhao ◽  
Haibo Zhong
Keyword(s):  
Physical Fitness ◽  
Human Body ◽  
Detection System ◽  
Fall Detection ◽  
The Elderly ◽  
Daily Activities ◽  
Public Healthcare ◽  
Wearable Sensor ◽  
Negative Effects ◽  
The Public

Fall detection is a major challenge in the public healthcare domain, especially for the elderly as the decline of their physical fitness, and timely and reliable surveillance is necessary to mitigate the negative effects of falls. This paper develops a novel fall detection system based on a wearable device. The system monitors the movements of human body, recognizes a fall from normal daily activities by an effective quaternion algorithm, and automatically sends request for help to the caregivers with the patient’s location.

scholarly journals Fall prevention system based on airbag protection and mechanical exoskeleton support

2021 ◽  
Vol 336 ◽  
pp. 02015
Author(s):  
Shuaibo Wang ◽  
Jiaxing Sun ◽  
Shuwen Liu
Keyword(s):  
Human Body ◽  
Detection System ◽  
Effective Means ◽  
Fall Detection ◽  
The Elderly ◽  
Accidental Injury ◽  
Hip Joints ◽  
Prevention System ◽  
Fall Protection

The aging of population is a worldwide social problem that all countries will face in the 21st century. The health and quality of life of the elderly will have a significant impact on the country and society. In fact, falls are the leading cause of accidental injury or death in the elderly. Fortunately, using inflatable airbags as a buffer to reduce the injuries caused by falls is currently the most effective means of fall protection. This paper designs an indoor protection device for elderly patients in the rehabilitation stage. It not only includes an accurate and effective fall detection system, but also can use airbags and mechanical exoskeleton to perform head, waist and hip joints on patients who are about to fall. Through experiments, the designed airbag can be ejected within a specified time, and the designed algorithm can accurately distinguish the fall of the human body from the daily behaviour of human body.

scholarly journals Preimpact Fall Detection for Elderly Based on Fractional Domain

2021 ◽  
Vol 2021 ◽  
pp. 1-17
Author(s):  
Ning Liu ◽  
Dedi Zhang ◽  
Zhong Su ◽  
Tianrun Wang
Keyword(s):  
Social Cost ◽  
Detection System ◽  
Fall Detection ◽  
The Elderly ◽  
Selection Method ◽  
Excellent Performance ◽  
Motion Data ◽  
Algorithm Framework ◽  
Warning Effect ◽  
Mean Filtering

The aging population has become a growing worldwide problem. Every year, deaths and injuries caused by elderly people's falls bring huge social costs. To reduce the rate of injury and death caused by falls among the elderly and the following social cost, the elderly must be monitored. In this context, falls detecting has become a hotspot for many research institutions and enterprises at home and abroad. This paper proposes an algorithm framework to prealarm the fall based on fractional domain, using inertial data sensor as motion data collection devices, preprocessing the data by axis synthesis and mean filtering, and using fractional-order Fourier transform to convert the collected data from time domain to fractional domain. Based on the above, a multilayer dichotomy classifier is designed, and each node parameter selection method is given, which constructed a preimpact fall detection system with excellent performance. The experiment result demonstrates that the algorithm proposed in this paper can guarantee better warning effect and classification accuracy with fewer features.

scholarly journals Machine Learning based Human Fall Detection System

2021 ◽  
Vol 9 (VI) ◽  
pp. 2677-2682
Author(s):  
Nishanth P
Keyword(s):  
Machine Learning ◽  
Detection System ◽  
Wearable Sensors ◽  
Fall Detection ◽  
The Elderly ◽  
World Health ◽  
Support Vector ◽  
Data Output ◽  
Health Organization ◽  
Context Features

Falls have become one of the reasons for death. It is common among the elderly. According to World Health Organization (WHO), 3 out of 10 living alone elderly people of age 65 and more tend to fall. This rate may get higher in the upcoming years. In recent years, the safety of elderly residents alone has received increased attention in a number of countries. The fall detection system based on the wearable sensors has made its debut in response to the early indicator of detecting the fall and the usage of the IoT technology, but it has some drawbacks, including high infiltration, low accuracy, poor reliability. This work describes a fall detection that does not reliant on wearable sensors and is related on machine learning and image analysing in Python. The camera's high-frequency pictures are sent to the network, which uses the Convolutional Neural Network technique to identify the main points of the human. The Support Vector Machine technique uses the data output from the feature extraction to classify the fall. Relatives will be notified via mobile message. Rather than modelling individual activities, we use both motion and context information to recognize activities in a scene. This is based on the notion that actions that are spatially and temporally connected rarely occur alone and might serve as background for one another. We propose a hierarchical representation of action segments and activities using a two-layer random field model. The model allows for the simultaneous integration of motion and a variety of context features at multiple levels, as well as the automatic learning of statistics that represent the patterns of the features.

scholarly journals Fall Detection System for the Elderly Based on the Classification of Shimmer Sensor Prototype Data

2017 ◽  
Vol 23 (3) ◽  
pp. 147 ◽  
Author(s):  
Moiz Ahmed ◽  
Nadeem Mehmood ◽  
Adnan Nadeem ◽  
Amir Mehmood ◽  
Kashif Rizwan
Keyword(s):  
Detection System ◽  
Fall Detection ◽  
The Elderly

scholarly journals Nothing but Trouble: Studies on the Effects of Reforms in Elderly Care in Sweden and Poland

2013 ◽  
Vol 6 (1) ◽  
pp. 31-60 ◽  
Author(s):  
Iwona Sobis
Keyword(s):  
Health Care ◽  
Health Care Services ◽  
Practical Implication ◽  
Elderly Care ◽  
The Elderly ◽  
Negative Effects ◽  
The Public ◽  
Care Services ◽  
Care For The Elderly ◽  
The Future

Abstract Reforms of the public sector, conducted in the spirit of NPM since the 1990s, are frequently studied by Western and Eastern scholars. The research shows national variations in how the NPM idea was translated and adapted into a country’s context and regulations. Care for the elderly is an interesting example of reforms conducted in the spirit of NPM, because it relates to welfare and health care and to the competences of provincial and local authorities in most European countries. This paper addresses the following questions: What do we know about the reforms conducted in the spirit of NPM and its practical implication within the field of care for the elderly during 1990 - 2010? What kind of knowledge about care for the elderly is still missing and should be developed in the future ? Th is paper conducts comparative research on what is known about the effects of the Swedish and the Polish reforms regarding care for the elderly. It argues that most literature points to negative effects, but also to the fact that there are still gaps in our knowledge about the effects of reforms concerning elderly care, especially regarding its organization. Hence, despite all the research done, we do not know what kind of social and health-care services for seniors represent the best practices for the future.

scholarly journals Caffeine as a Factor Influencing the Functioning of the Human Body—Friend or Foe?

Nutrients ◽  
2021 ◽  
Vol 13 (9) ◽  
pp. 3088
Author(s):  
Kamil Rodak ◽  
Izabela Kokot ◽  
Ewa Maria Kratz
Keyword(s):  
Human Body ◽  
The Elderly ◽  
Negative Effects ◽  
Caffeine Consumption ◽  
The Central Nervous System ◽  
Disease Entities ◽  
The Individual ◽  
Available Information ◽  
The Impact

Nowadays, caffeine is one of the most commonly consumed substances, which presents in many plants and products. It has both positive and negative effects on the human body, and its activity concerns a variety of systems including the central nervous system, immune system, digestive system, respiratory system, urinary tract, etc. These effects are dependent on quantity, the type of product in which caffeine is contained, and also on the individual differences among people (sex, age, diet etc.). The main aim of this review was to collect, present, and analyze the available information including the latest discoveries on the impact of caffeine on human health and the functioning of human body systems, taking into account the role of caffeine in individual disease entities. We present both the positive and negative sides of caffeine consumption and the healing properties of this purine alkaloid in diseases such as asthma, Parkinson’s disease, and others, not forgetting about the negative effects of excess caffeine (e.g., in people with hypertension, children, adolescents, and the elderly). In summary, we can conclude, however, that caffeine has a multi-directional influence on various organs of the human body, and because of its anti-oxidative properties, it was, and still is, an interesting topic for research studies including those aimed at developing new therapeutic strategies.

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