Academic literature on the topic 'Automatic fall detection'

Create a spot-on reference in APA, MLA, Chicago, Harvard, and other styles

Select a source type:

Consult the lists of relevant articles, books, theses, conference reports, and other scholarly sources on the topic 'Automatic fall detection.'

Next to every source in the list of references, there is an 'Add to bibliography' button. Press on it, and we will generate automatically the bibliographic reference to the chosen work in the citation style you need: APA, MLA, Harvard, Chicago, Vancouver, etc.

You can also download the full text of the academic publication as pdf and read online its abstract whenever available in the metadata.

Journal articles on the topic "Automatic fall detection"

1

Asma Abdallah Nasser Al-Risi, Shamsa Salim Mattar Albadi, Shima Hamdan Said Almaamari, Saleem Raja Abdul Samad, and Pradeepa Ganesan. "Automated Fall Detection for Disabled Individuals Using Mobile Phone Sensors and Machine Learning: A Survey." International Journal of Data Informatics and Intelligent Computing 3, no. 2 (2024): 27–33. http://dx.doi.org/10.59461/ijdiic.v3i2.106.

Full text
Abstract:
Fall risks to health and safety are especially dangerous for those with impairments. An automated fall detection system is necessary, especially in medical and senior care. The elderly and individuals with impairments are particularly susceptible to falls, which frequently result in severe injuries and complications, thereby presenting a considerable threat to their overall health. The early discovery and response to a fall incidence can reduce immobilization and consequent health complications, saving lives. Automatic fall detection systems quickly and reliably indicate falls and dispatch medical or emergency assistance. Researchers have introduced various automatic fall detection methods using machines or deep learning. Most fall detection systems depend on wearable or stationary sensors, which restricts the user's mobility and accessibility. Conversely, mobile sensor-based fall detection leverages the widespread presence of smartphones by obtaining motion information via their integrated accelerometers and gyroscopes. Our primary objective is to develop a reliable fall detection method using a mobile phone sensor and machine learning. This paper examines several methods employed in the identification of falls and emphasizes the significance of utilizing mobile phone sensors in the process of fall detection. It also discusses recent research in this domain and highlights research challenges. This could potentially foster further innovation in the field.
APA, Harvard, Vancouver, ISO, and other styles
2

H, Mr Vinay Kumar, S. Hamsaveni, Vijay Kumar, Mohammed Umer .K, and Syeda Sania Quadri. "Automatic Fall Detection and Heartbeat Monitoring for Elderly." International Journal for Research in Applied Science and Engineering Technology 11, no. 5 (2023): 2883–85. http://dx.doi.org/10.22214/ijraset.2023.52245.

Full text
Abstract:
Abstract: Falls and fall-related injuries are major incidents, especially for elderly people, which often mark the onset of major deterioration of health. More than one-third of home-dwelling people aged 65 or aboveand two-thirds of those in residential care fall once or more each year. Reliable fall detection, as well as prevention, is an important research topic for monitoring elderly living alone in residential or hospital units. The aim of this study is to review the existing fall detection systems and some of the key research challenges faced by the research community in this field. We categorize the existing platforms into two groups: wearable and ambient devices; the classification methods are divided into rule-based and machine learning techniques. The relative merit and potential drawbacks are discussed, and we also outline some of the outstanding research challenges that emerging new platforms need to address.
APA, Harvard, Vancouver, ISO, and other styles
3

Alizadeh, Jalal, Martin Bogdan, Joseph Classen, and Christopher Fricke. "Support Vector Machine Classifiers Show High Generalizability in Automatic Fall Detection in Older Adults." Sensors 21, no. 21 (2021): 7166. http://dx.doi.org/10.3390/s21217166.

Full text
Abstract:
Falls are a major cause of morbidity and mortality in neurological disorders. Technical means of detecting falls are of high interest as they enable rapid notification of caregivers and emergency services. Such approaches must reliably differentiate between normal daily activities and fall events. A promising technique might be based on the classification of movements based on accelerometer signals by machine-learning algorithms, but the generalizability of classifiers trained on laboratory data to real-world datasets is a common issue. Here, three machine-learning algorithms including Support Vector Machine (SVM), k-Nearest Neighbors (kNN), and Random Forest (RF) were trained to detect fall events. We used a dataset containing intentional falls (SisFall) to train the classifier and validated the approach on a different dataset which included real-world accidental fall events of elderly people (FARSEEING). The results suggested that the linear SVM was the most suitable classifier in this cross-dataset validation approach and reliably distinguished a fall event from normal everyday activity at an accuracy of 93% and similarly high sensitivity and specificity. Thus, classifiers based on linear SVM might be useful for automatic fall detection in real-world applications.
APA, Harvard, Vancouver, ISO, and other styles
4

Daher, Mohamad, Maan El Badaoui El Najjar, and Mohamad Khalil. "Automatic Fall Detection System using Sensing Floors." International Journal of Computing and Information Sciences 12, no. 1 (2016): 75–82. http://dx.doi.org/10.21700/ijcis.2016.110.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Liu, Hong, and Changling Zuo. "An Improved Algorithm of Automatic Fall Detection." AASRI Procedia 1 (2012): 353–58. http://dx.doi.org/10.1016/j.aasri.2012.06.054.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Lim, Dongha, Chulho Park, Nam Ho Kim, Sang-Hoon Kim, and Yun Seop Yu. "Fall-Detection Algorithm Using 3-Axis Acceleration: Combination with Simple Threshold and Hidden Markov Model." Journal of Applied Mathematics 2014 (2014): 1–8. http://dx.doi.org/10.1155/2014/896030.

Full text
Abstract:
Falls are a serious medical and social problem among the elderly. This has led to the development of automatic fall-detection systems. To detect falls, a fall-detection algorithm that combines a simple threshold method and hidden Markov model (HMM) using 3-axis acceleration is proposed. To apply the proposed fall-detection algorithm and detect falls, a wearable fall-detection device has been designed and produced. Several fall-feature parameters of 3-axis acceleration are introduced and applied to a simple threshold method. Possible falls are chosen through the simple threshold and are applied to two types of HMM to distinguish between a fall and an activity of daily living (ADL). The results using the simple threshold, HMM, and combination of the simple method and HMM were compared and analyzed. The combination of the simple threshold method and HMM reduced the complexity of the hardware and the proposed algorithm exhibited higher accuracy than that of the simple threshold method.
APA, Harvard, Vancouver, ISO, and other styles
7

Anishchenko, Lesya, Andrey Zhuravlev, and Margarita Chizh. "Fall Detection Using Multiple Bioradars and Convolutional Neural Networks." Sensors 19, no. 24 (2019): 5569. http://dx.doi.org/10.3390/s19245569.

Full text
Abstract:
A lack of effective non-contact methods for automatic fall detection, which may result in the development of health and life-threatening conditions, is a great problem of modern medicine, and in particular, geriatrics. The purpose of the present work was to investigate the advantages of utilizing a multi-bioradar system in the accuracy of remote fall detection. The proposed concept combined usage of wavelet transform and deep learning to detect fall episodes. The continuous wavelet transform was used to get a time-frequency representation of the bio-radar signal and use it as input data for a pre-trained convolutional neural network AlexNet adapted to solve the problem of detecting falls. Processing of the experimental results showed that the designed multi-bioradar system can be used as a simple and view-independent approach implementing a non-contact fall detection method with an accuracy and F1-score of 99%.
APA, Harvard, Vancouver, ISO, and other styles
8

Feldwieser, Florian, Michael Marchollek, Markus Meis, Matthias Gietzelt, and Elisabeth Steinhagen-Thiessen. "Acceptance of seniors towards automatic in home fall detection devices." Journal of Assistive Technologies 10, no. 4 (2016): 178–86. http://dx.doi.org/10.1108/jat-07-2015-0021.

Full text
Abstract:
Purpose Senior citizen falls are one of the highest-cost factors of healthcare within this population group. Various approaches for automatic fall detection exist. However, little is known about the seniors’ acceptance of these systems. The purpose of this paper is to investigate the acceptance of automatic fall detection devices as well as the technological commitment and the health status in community-dwelling adults with a predefined risk of falling. Design/methodology/approach Seniors with a risk of falling were equipped with either an accelerometer or an accelerometer with an additional visual and optical fall detection system in a sub-group of the study population for a period of eight weeks. Pre- and post-study questionnaires were used to assess attitudes and acceptance toward technology. Findings In total, 14 subjects with a mean age of 75.1 years completed the study. Acceptance toward all sensors was high and subjects were confident in their ability to handle technology. Medical assessments showed only very mild physical and no mental impairments. Measures that assured subjects privacy protection were welcomed. Sensor technology should be as unobtrusive as possible. Originality/value Privacy protection and uncomplicated use of the fall detection equipment led to high acceptance in seniors with high-technical commitment and good health status. Issues to further improve acceptance could be identified. Future research on different populations is necessary.
APA, Harvard, Vancouver, ISO, and other styles
9

Liu, Yen-Hung, Patrick C. K. Hung, Farkhund Iqbal, and Benjamin C. M. Fung. "Automatic Fall Risk Detection Based on Imbalanced Data." IEEE Access 9 (2021): 163594–611. http://dx.doi.org/10.1109/access.2021.3133297.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Yun Li, K. C. Ho, and M. Popescu. "A Microphone Array System for Automatic Fall Detection." IEEE Transactions on Biomedical Engineering 59, no. 5 (2012): 1291–301. http://dx.doi.org/10.1109/tbme.2012.2186449.

Full text
APA, Harvard, Vancouver, ISO, and other styles
More sources

Dissertations / Theses on the topic "Automatic fall detection"

1

Koshmak, Gregory. "Remote Monitoring and Automatic Fall Detection for Elderly People at Home." Licentiate thesis, Mälardalens högskola, Inbyggda system, 2015. http://urn.kb.se/resolve?urn=urn:nbn:se:mdh:diva-27945.

Full text
Abstract:
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. Modern healthcare systems exploited in geriatric medicine are often obtrusive and require patients presence at the hospital which interferes with their demand in independent life style. Recent developments on telecare market provide a wide range of wireless solutions for distant monitoring of medical parameters and health assistance. However, most of the devices are programmed for spot checking and operate independently from each other. There is still a lack of integrated framework with high interoperability and on-line continuous monitoring support for further correlation analyses. The current study is a step towards complete and continuous data collection system for elderly people with various types of health problems. Research initiative is motivated by recent demand in reliable multi-functional remote monitoring systems, combining different data sources. The main focus is made on fall detection methods, interoperability, real-life testing and correlation analyses. The list of main contributions contains (1) investigating communication functionalities, (2) developing algorithm for reliable fall detection, (3) multi-sensor fusion analyses and overview of the latest multi-sensor fusion approaches, (4) user study involving healthy volunteers and elderly people. Evaluation is performed through a series of computer simulation and real-life testing in collaboration with the local medical authorities. As a result we expect to obtain a monitoring system with reliable communication capabilities, inbuilt on-line processing, alarm generating techniques and complete functionality for integration with similar systems or smart-home environment.<br>En åldrande befolkning utgör ett av de viktigaste problemen för de allra flesta så kallade "mer ekonomiskt utvecklade länder" (MEDC). Mängden äldre människor som lider av multi-sjukdomar och kräver ständig övervakning av vitala parametrar har ökat på senare tid, vilket resulterar i ökade sjukvårdskostnader. Geriatrikens moderna sjukvårdssystem kräver ofta att patienterna är närvarande på sjukhuset, vilket kraftigt begränsar en självständig och oberoende livsstil. Den senaste utvecklingen på telemedicinområdet erbjuder ett brett utbud av trådlösa lösningar inom hälsovård för distansövervakning av medicinska parametrar. De flesta lösningarna innebär punktkontroll av enskilda parametrar och arbetar oberoende av varandra. Det saknas fortfarande integrerade lösningar med hög interoperabilitet och kontinuerlig on-line övervakningsstöd för att kunna genomföra ytterligare korrelationsanalyser. Detta arbete utgör ett steg mot ett fullständigt och kontinuerligt datainsamlingssystem för äldre personer med olika typer av hälsoproblem. Forskningsinitiativet motiveras av senaste tidens efterfrågan på tillförlitliga multifunktionella system för distansövervakning, som kombinerar olika datakällor. Huvudfokus utgörs av falldetektionsmetoder, interoperabilitet, verkliga tester och korrelationsanalyser. Listan över de främsta bidragen innehåller (1) att undersöka kommunikationsfunktionaliteter, (2) utveckla en algoritm för tillförlitlig falldetektion, (3) multisensor-fusion-analyser och översikt över multisensor-fusion-strategier, (4) en användarstudie med friska frivilliga äldre. Utvärderingen sker genom en serie av datorsimuleringar och tester i verklig miljö i samarbete med lokala hälso- och sjukvårdsmyndigheter. Målet är ett övervakningssystem med tillförlitliga kommunikationsmöjligheter, inbyggd on-line-bearbetning, tekniker för larmgenerering och funktionalitet för integration med liknande system eller i en smart hemmiljö.
APA, Harvard, Vancouver, ISO, and other styles
2

Jajtner, Jan. "Návrh vestavěného systému pro řízení výukového modelu rotačního kyvadla." Master's thesis, Vysoké učení technické v Brně. Fakulta strojního inženýrství, 2015. http://www.nusl.cz/ntk/nusl-232046.

Full text
Abstract:
The basic aim of this work is to improve existing model of rotational inverted pendulum by adding new mechanical features, implement the control algorithm to dsPIC microcontroller and develop related control electronics thus extending the functionality of current model while making it more compact. The work contains derivation of dynamic equations both by means of analytical methods and multi-body formalism of SimMechanics. These are used to design a state controller stabilizing the pendulum in inverse position. In addition, parameters of the system are being estimated experimentally. Swing-up controller is developed to drive the pendulum to unstable position. Various state estimators are added to controller to improve the control process while comparing their overall performance. The last point is devoted to development of superior state-automaton designed to switch between different regulating modes including fail-detection algorithms providing smooth operation of the model.
APA, Harvard, Vancouver, ISO, and other styles
3

JHANG, SU-RONG, and 張素蓉. "Automatic Detection of Fall Events by Machine Vision Technologies." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/02529785703912766216.

Full text
Abstract:
碩士<br>國立臺灣科技大學<br>材料科學與工程系<br>100<br>This thesis applies image processing techniques to detect a person who falls down and is unable to get up by oneself after fall event. In this thesis, when the event is detected by the detection system, a warning message can be provided to surveillance officers in a computer-based vision system. In the detection system, at first, the motion detection is used to find the moving object (human). Next, we propose three stage judgment rules to detect fall event. In the first stage, orientation variation of the object is used to determine the walking and falling gestures. In the second stage, back propagation neural network (BPNN) with three feature inputs is used to detect fall and stoop or squat situations. In the third stage, we compute orientation variation of the object for detecting disability to get up by oneself and get-up action after lying on the ground. In the experiment, fifty eight video sequences include sixteen normal events (walk and stoop or squat) and forty two fall events (forward fall and backward fall) for the first stage and second stage judgment rules, and sixteen video sequences include eight for disability to get up by oneself after fall event and eight for get-up action from the ground. The recognition rates of two experiments are 94.8% and 100%, respectively. The results show that the proposed fall detection system can do good job in recognizing fall events.
APA, Harvard, Vancouver, ISO, and other styles
4

Medeiros, Henrique Rodrigues Barbosa de. "Automatic detection of disfluencies in a corpus of university lectures." Master's thesis, 2014. http://hdl.handle.net/10071/8683.

Full text
Abstract:
This dissertation focuses on the identification of disfluent sequences and their distinct structural regions. Reported experiments are based on audio segmentation and prosodic features, calculated from a corpus of university lectures in European Portuguese, containing about 32 hours of speech and about 7.7% of disfluencies. The set of features automatically extracted from the forced alignment corpus proved to be discriminant of the regions contained in the production of a disfluency. The best results concern the detection of the interregnum, followed by the detection of the interruption point. Several machine learning methods have been applied, but experiments show that Classification and Regression Trees usually outperform the other methods. The set of most informative features for cross-region identification encompasses word duration ratios, word confidence score, silent ratios, and pitch and energy slopes. Features such as the number of phones and syllables per word proved to be more useful for the identification of the interregnum, whereas energy slopes were most suited for identifying the interruption point. We have also conducted initial experiments on automatic detecting filled pauses, the most frequent disfluency type. For now, only force aligned transcripts were used, since the ASR system is not well adapted to this domain. This study is a step towards automatic detection of filled pauses for European Portuguese using prosodic features. Future work will extend this study for fully automatic transcripts, and will also tackle other domains, also exploring extended sets of linguistic features.<br>Esta tese aborda a identificação de sequências disfluentes e respetivas regiões estruturais. As experiências aqui descritas baseiam-se em segmentação e informação relativa a prosódia, calculadas a partir de um corpus de aulas universitárias em Português Europeu, contendo cerca de 32 horas de fala e de cerca de 7,7% de disfluências. O conjunto de características utilizadas provou ser discriminatório na identificação das regiões contidas na produção de disfluências. Os melhores resultados dizem respeito à deteção do interregnum, seguida da deteção do ponto de interrupção. Foram testados vários métodos de aprendizagem automática, sendo as Árvores de Decisão e Regressão as que geralmente obtiveram os melhores resultados. O conjunto de características mais informativas para a identificação e distinção de regiões disfluentes abrange rácios de duração de palavras, nível de confiança da palavra atual, rácios envolvendo silêncios e declives de pitch e de energia. Características tais como o número de fones e sílabas por palavra provaram ser mais úteis para a identificação do interregnum, enquanto pitch e energia foram os mais adequados para identificar o ponto de interrupção. Foram também realizadas experiências focando a deteção de pausas preenchidas. Por enquanto, para estas experiências foi utilizado apenas material proveniente de alinhamento forçado, já que o sistema de reconhecimento automático não está bem adaptado a este domínio. Este estudo representa um novo passo no sentido da deteção automática de pausas preenchidas para Português Europeu, utilizando recursos prosódicos. Em trabalho futuro pretende-se estender esse estudo para transcrições automáticas e também abordar outros domínios, explorando conjuntos mais extensos de características linguísticas.
APA, Harvard, Vancouver, ISO, and other styles
5

Proença, Jorge Daniel Leonardo. "Automatic assessment of reading ability of children." Doctoral thesis, 2018. http://hdl.handle.net/10316/83815.

Full text
Abstract:
Tese no âmbito do doutoramento em Engenharia Electrotécnica e de Computadores, especialização em Computadores e Electrónica, apresentada à Faculdade de Ciências e Tecnologia da Universidade de Coimbra.<br>The work detailed in this thesis proposes solutions to automatically evaluate the reading ability of children, targeted towards European Portuguese. Contributions were made towards the state of the art of reading assessment by using sentences and pseudowords, proposing sentence utterance segmentation strategies that consider disfluencies and by proposing multiple features both for mispronunciation classification and overall reading performance estimation. Knowing how to read is one of the most important markers of a child's cognitive development. Teachers usually have to expend a large effort to properly evaluate a child's reading aloud performance on a 1-on-1 basis, manually taking notes for accuracy and time. A tool that records and automatically analyzes reading tasks could be an important complement for reading evaluation. The objectives of this work were to develop methods that support an automatic reading evaluation of children 6 to 10 years old. Providing an overall reading aloud level score can be useful to quickly get an appreciation of a child's ability and follow their evolution along time and to combine the information of several metrics that teachers take into account when evaluating a child. A large European Portuguese database of children reading aloud was collected to have sufficient data to train acoustic models and to have a large number of examples of reading disfluencies. The reading tasks presented to children were carefully designed by selecting appropriate sentences and generating pseudowords, distributed throughout tasks according to a difficulty metric. Several types of disfluencies were identified, with the most common being mispronunciations, false-starts, repetitions and intra-word pauses. Consequently, these were the ones targeted for automatic detection. Several strategies were developed to automatically detect reading disfluencies and get automatic annotation of utterances. All followed the same two-step basis: segmentation that detects extra content, and mispronunciation classification. First, segmentation is achieved by constrained decoding lattices based on the ideal pronunciation of the prompt text but allowing freedom of repetition and syllable-based false starts. The best approach uses syllables as units and allows optional silence between each syllable to address the problem of intra-word pauses. Decoding an utterance results in word candidate segments that will be classified as correctly pronounced or not. The best performing feature to classify mispronunciations was a log-likelihood ratio between the ideal pronunciation and a free-phone-loop filler model, done in a word-spotting manner. Additional features of likelihoods of individual phonemes and Levenshtein distances between correct pronunciation and recognized phonemes are combined in multi-feature models. Elementary school teachers were asked to rate the overall reading level score of children as 0-5, resulting in a ground truth of reading score. Regression models to estimate these scores were trained based on performance features extracted from the automatic annotation, with separate features for the reading of sentences or pseudowords. Gaussian process regression models achieved the best results from automatic annotation, with results closely approaching the use of features extracted from manual annotation. Two applications of the developed work were built: a demo and a prototype website. The demo application showcases the methodology applied to the children of the collected dataset. The prototype website is a platform for teachers where they can assign reading tasks to several students, tell children to read tasks using a microphone, and analyze the automatically given performance score and utterance annotations.<br>O trabalho detalhado nesta tese propõe soluções para automaticamente avaliar a capacidade de leitura de crianças, tendo como alvo o Português europeu. Foram feitas contribuições para o estado da arte de avaliação de leitura ao usar frases e pseudopalavras, ao propor estratégias de segmentação de locuções de frases que consideram disfluências e ao propor vários parâmetros quer para classificação de pronunciações incorretas como para estimação de capacidade de leitura geral. Saber ler é um dos mais importantes marcadores do desenvolvimento cognitivo de uma criança. Os professores têm habitualmente de despender um grande esforço a avaliar decentemente a capacidade de leitura em voz alta de uma criança, um a um, manualmente tirando notas de exatidão e tempo. Uma ferramenta que grave e automaticamente analise tarefas de leitura poderá ser um importante complemento à avaliação de leitura. Os objetivos deste trabalho foram desenvolver métodos que suportem uma avaliação automática da leitura de crianças de 6 a 10 anos de idade. Fornecer um valor de nível geral de leitura em voz alta pode ser útil para rapidamente obter um apreciação da capacidade de uma criança e seguir a sua evolução ao longo do tempo e para combinar a informação de várias métricas que os professores têm em conta quando avaliam uma criança. Uma grande base de dados de Português europeu de crianças a ler em voz alta foi adquirida para ter dados suficientes para treino de modelos acústicos e para ter um largo número de exemplos de disfluências da leitura. As tarefas de leitura apresentadas às crianças foram cuidadosamente construídas seleccionando frases apropriadas e gerando pseudopalavras, distribuídas ao longo das tarefas de acordo com uma métricas de dificuldade. Vários tipos de disfluências foram identificados, com os mais comuns sendo pronunciações incorretas, pré-correções, repetições e pausas intra-palavra. Consequentemente, estes foram o alvo de detecção automática. Foram desenvolvidas várias estratégias para automaticamente detetar disfluências da leitura e obter anotação automática de locuções. Todas seguiram a mesma base de duas fases: segmentação que deteta conteúdo extra, e classificação de pronunciações incorretas. Primeiro, segmentação é conseguida por gramáticas de descodificação restritas baseadas na pronunciação ideal do texto mas permitindo liberdade de repetição e pré-correções baseadas em sílabas. O melhor método usa sílabas como unidades e permite silêncio opcional entre cada sílaba para responder ao problema de pausas intra-palavra. Descodificar uma locução resulta em segmentos candidatos de palavra que serão classificados como correta ou incorretamente pronunciados. O melhor parâmetro para classificar pronunciações incorretas foi uma razão de verosimilhança logarítmica entre a pronunciação ideal e um modelo de enchimento com todos os fones em paralelo, feita de uma forma semelhante a deteção de palavras. Parâmetros adicionais de verosimilhanças individuais de fonemas e de distâncias de Levenshtein entre pronunciação correta e fonemas reconhecidos foram combinados em modelos de múltiplos parâmetros. Professores do 1º ciclo do ensino básico foram convidados a avaliar o nível geral de leitura de crianças em 0-5, resultando em valores de referência. Modelos de regressão que estimem estes valores foram treinados baseados em parâmetros extraídos da anotação automática, com parâmetros diferentes para a leitura de frases e de pseudopalavras. Modelos de regressão de processos Gaussianos obtiveram os melhores resultados com anotação automática, resultados que se aproximaram do uso de parâmetros extraídos da anotação manual. Duas aplicações do trabalho desenvolvido foram construídas: uma demo e um website protótipo. A demo apresenta a metodologia desenvolvida aplicada às crianças da base de dados adquirida. O website protótipo é uma plataforma para professores onde estes podem atribuir tarefas de leitura a vários alunos, dizer às crianças para lerem tarefas usando um microfone, e analisar o nível de leitura automático e a anotação automática.
APA, Harvard, Vancouver, ISO, and other styles

Book chapters on the topic "Automatic fall detection"

1

Kalbermatter, Rebeca B., Tiago Franco, Ana I. Pereira, António Valente, Salviano Pinto Soares, and José Lima. "Automatic Fall Detection with Thermal Camera." In Communications in Computer and Information Science. Springer Nature Switzerland, 2024. http://dx.doi.org/10.1007/978-3-031-53025-8_24.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Magalhães, Carlos, João Ribeiro, Argentina Leite, E. J. Solteiro Pires, and João Pavão. "Automatic Fall Detection Using Long Short-Term Memory Network." In Advances in Computational Intelligence. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-85030-2_30.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Zhang, Chenyang, Yingli Tian, and Elizabeth Capezuti. "Privacy Preserving Automatic Fall Detection for Elderly Using RGBD Cameras." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-31522-0_95.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Ozcan, Koray, Anvith Mahabalagiri, and Senem Velipasalar. "Automatic Fall Detection and Activity Classification by a Wearable Camera." In Distributed Embedded Smart Cameras. Springer New York, 2014. http://dx.doi.org/10.1007/978-1-4614-7705-1_7.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Perez-Lopez, Borja, Francisco Gomez-Donoso, and Miguel Cazorla. "SAFaD: A System for Automatic Fall Detection on Surveillance Imagery." In ROBOT2022: Fifth Iberian Robotics Conference. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-21062-4_46.

Full text
APA, Harvard, Vancouver, ISO, and other styles
6

Yang, Hong, Yanqin Yang, Wenchao Xu, and Yuxin Pang. "An Automatic Fall Detection System Based on Derivative Dynamic Time Warping." In Communications in Computer and Information Science. Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-6442-5_40.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Wu, G., and S. Xue. "Automatic Fall Detection Based on Kinematic Characteristics during the Pre-impact Phase of Falls." In IFMBE Proceedings. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14515-5_88.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Dueñas, Sara Judith Ríos, Jose Mejia, Alberto Ochoa, et al. "Automatic Fall Detection for the Care of Older Adults in Smart Cities." In Technological and Industrial Applications Associated With Industry 4.0. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-68663-5_4.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Wu, Xiaodan, Lingyu Cheng, Chao-Hsien Chu, and Jungyoon Kim. "Using Deep Learning and Smartphone for Automatic Detection of Fall and Daily Activities." In Smart Health. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-34482-5_6.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Dubois, Amandine, and François Charpillet. "Automatic Fall Detection System with a RGB-D Camera using a Hidden Markov Model." In Inclusive Society: Health and Wellbeing in the Community, and Care at Home. Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-39470-6_33.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Conference papers on the topic "Automatic fall detection"

1

Ikechukwu, Miracle Chibuike, and Jing Wang. "Tackling Visual Illumination Variations in Fall Detection for Healthcare Applications." In 2024 29th International Conference on Automation and Computing (ICAC). IEEE, 2024. http://dx.doi.org/10.1109/icac61394.2024.10718763.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Turetta, Cristian, Muhammad Toqeer Ali, Florenc Demrozi, and Graziano Pravadelli. "A Lightweight CNN for Real-Time Pre-Impact Fall Detection." In 2025 Design, Automation & Test in Europe Conference (DATE). IEEE, 2025. https://doi.org/10.23919/date64628.2025.10993022.

Full text
APA, Harvard, Vancouver, ISO, and other styles
3

Dibble, Joe, and Michael C. F. Bazzocchi. "An Analytical Threshold-based Classification Technique for Post-incident Fall Detection." In 2024 IEEE 20th International Conference on Automation Science and Engineering (CASE). IEEE, 2024. http://dx.doi.org/10.1109/case59546.2024.10711659.

Full text
APA, Harvard, Vancouver, ISO, and other styles
4

Patil, Mrunal, Mansi Subhedar, Yash Kamble, and Omkar Labde. "Intelligent Wheelchair Design: Integrating Gesture Recognition, Health Tracking and Fall Detection." In 2024 8th International Conference on Computing, Communication, Control and Automation (ICCUBEA). IEEE, 2024. https://doi.org/10.1109/iccubea61740.2024.10774966.

Full text
APA, Harvard, Vancouver, ISO, and other styles
5

Chao, Paul C. P., Li-Chi Hsu, Yu-Feng Li, and Chin-Wei Chun. "Design and Development of a Wireless Fall Detection Module for Homecare." In ASME 2014 Conference on Information Storage and Processing Systems. American Society of Mechanical Engineers, 2014. http://dx.doi.org/10.1115/isps2014-6972.

Full text
Abstract:
A novel wireless circuit module is designed in this study to perform ubiquitous fall detections and then real-time fall detections of help messages. It is a common trend that as the demand for living quality increases tremendously while the technologies of electronics and medicine advances greatly, personal cares are elevated to the next level. As for the aging society, the issue of injuries due to falls among senior population arises rapidly [1,2]. Costly prices are often paid as the elderly falls without notice from companions at the site. Therefore, various modules and/or systems of automatic and wireless fall detection are developed into a past pace. Such fall-detection modules are demanded to be able to automatically detect falls of subjects and then send the help message to a remote hospital for an immediate help.
APA, Harvard, Vancouver, ISO, and other styles
6

Mulcahy, Melissa K., and Stan Kurkovsky. "Automatic Fall Detection Using Mobile Devices." In 2015 12th International Conference on Information Technology - New Generations (ITNG). IEEE, 2015. http://dx.doi.org/10.1109/itng.2015.98.

Full text
APA, Harvard, Vancouver, ISO, and other styles
7

Monteiro, Sara, Argentina Leite, and E. J. Solteiro Pires. "Deep Learning on Automatic Fall Detection." In 2021 IEEE Latin American Conference on Computational Intelligence (LA-CCI). IEEE, 2021. http://dx.doi.org/10.1109/la-cci48322.2021.9769783.

Full text
APA, Harvard, Vancouver, ISO, and other styles
8

Narasimhan, R. "Skin-contact sensor for automatic fall detection." In 2012 34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC). IEEE, 2012. http://dx.doi.org/10.1109/embc.2012.6346853.

Full text
APA, Harvard, Vancouver, ISO, and other styles
9

Senavongse, Wongwit, Noramon Dron, Pornsuang Prakopkaew, and Wanidar Tammawong. "Automatic fall detection sensor for treadmill rehabilitation." In 2013 6th Biomedical Engineering International Conference (BMEiCON). IEEE, 2013. http://dx.doi.org/10.1109/bmeicon.2013.6687646.

Full text
APA, Harvard, Vancouver, ISO, and other styles
10

Nadee, Chokemongkol, and Kosin Chamnongthai. "Multi sensor system for automatic fall detection." In 2015 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA). IEEE, 2015. http://dx.doi.org/10.1109/apsipa.2015.7415408.

Full text
APA, Harvard, Vancouver, ISO, and other styles

Reports on the topic "Automatic fall detection"

1

Chinalachi, Umesh. Automatic Wireless Fall Detection System. Iowa State University, 2020. http://dx.doi.org/10.31274/cc-20240624-271.

Full text
APA, Harvard, Vancouver, ISO, and other styles
2

Tao, Yang, Amos Mizrach, Victor Alchanatis, Nachshon Shamir, and Tom Porter. Automated imaging broiler chicksexing for gender-specific and efficient production. United States Department of Agriculture, 2014. http://dx.doi.org/10.32747/2014.7594391.bard.

Full text
Abstract:
Extending the previous two years of research results (Mizarch, et al, 2012, Tao, 2011, 2012), the third year’s efforts in both Maryland and Israel were directed towards the engineering of the system. The activities included the robust chick handling and its conveyor system development, optical system improvement, online dynamic motion imaging of chicks, multi-image sequence optimal feather extraction and detection, and pattern recognition. Mechanical System Engineering The third model of the mechanical chick handling system with high-speed imaging system was built as shown in Fig. 1. This system has the improved chick holding cups and motion mechanisms that enable chicks to open wings through the view section. The mechanical system has achieved the speed of 4 chicks per second which exceeds the design specs of 3 chicks per second. In the center of the conveyor, a high-speed camera with UV sensitive optical system, shown in Fig.2, was installed that captures chick images at multiple frames (45 images and system selectable) when the chick passing through the view area. Through intensive discussions and efforts, the PIs of Maryland and ARO have created the protocol of joint hardware and software that uses sequential images of chick in its fall motion to capture opening wings and extract the optimal opening positions. This approached enables the reliable feather feature extraction in dynamic motion and pattern recognition. Improving of Chick Wing Deployment The mechanical system for chick conveying and especially the section that cause chicks to deploy their wings wide open under the fast video camera and the UV light was investigated along the third study year. As a natural behavior, chicks tend to deploy their wings as a mean of balancing their body when a sudden change in the vertical movement was applied. In the latest two years, this was achieved by causing the chicks to move in a free fall, in the earth gravity (g) along short vertical distance. The chicks have always tended to deploy their wing but not always in wide horizontal open situation. Such position is requested in order to get successful image under the video camera. Besides, the cells with checks bumped suddenly at the end of the free falling path. That caused the chicks legs to collapse inside the cells and the image of wing become bluer. For improving the movement and preventing the chick legs from collapsing, a slowing down mechanism was design and tested. This was done by installing of plastic block, that was printed in a predesign variable slope (Fig. 3) at the end of the path of falling cells (Fig.4). The cells are moving down in variable velocity according the block slope and achieve zero velocity at the end of the path. The slop was design in a way that the deacceleration become 0.8g instead the free fall gravity (g) without presence of the block. The tests showed better deployment and wider chick's wing opening as well as better balance along the movement. Design of additional sizes of block slops is under investigation. Slops that create accelerations of 0.7g, 0.9g, and variable accelerations are designed for improving movement path and images.
APA, Harvard, Vancouver, ISO, and other styles
3

Casper, Gary, Stefanie Nadeau, and Thomas Parr. Acoustic amphibian monitoring, 2019 data summary: Pictured Rocks National Lakeshore. National Park Service, 2022. http://dx.doi.org/10.36967/2295509.

Full text
Abstract:
Amphibians are a Vital Sign indicator for monitoring long-term ecosystem health in seven national park units that comprise the Great Lakes Network. We present here the results for 2019 amphibian monitoring at Pictured Rocks National Lakeshore (PIRO). Appendices contain tabular summaries for six years of cumulative results. The National Park Service Great Lakes Inventory and Monitoring Network established 10 permanent acoustic amphibian monitoring sites at PIRO in 2013. Acoustic samples are collected by placing automated recorders with omnidirectional stereo microphones at each of the 10 sampling sites. Temperature loggers co-located with the recorders also collect air temperature during the sampling period. We expanded analyses and reporting in 2018 to address calling phenology and to provide a second metric for tracking changes in abundance across years. Occupancy analyses track whether or not a site was occupied by a species. Abundance is tracked by assessing how the maximum call intensity changes on sites across years, and by how many automated detections are reported from sites across years. Using two independent survey methods, manual and automated, with large sample sizes continues to return reliable results, providing a confident record of site occupancy for most species. The monitoring program detected five of the six species of frog and toad known to occur at PIRO in 2019, with Eastern American Toad, Gray Treefrog, Green Frog, and Spring Peeper occurring at almost every site sampled. Wood Frog was found at five sites. Mink Frog is known to occur at Sand Point but has never been confirmed at sites monitored by this GLKN program. Additional species of potential occurrence remain hypothetical (i.e., Northern Leopard Frog). The only significant data collection issue in 2019 was at PIRO02, where the equipment recorded only intermittently resulting in only partial data analysis possible. Remaining sites successfully collected data as programmed. Cumulative program result summaries since inception are provided in appendices. Temperature logs in 2019 showed that the threshold of ≥40°F was uniformly exceeded by 1 May, hence we recommend making 10 April the target start date for data collection in future. This could be accomplished by fall deployment of recorders on delayed starts. We also recommend making sure that recorders are mounted 6–10 feet high to better survey the soundscape with less interference from foliage, and that temperature loggers be placed within solar shields.
APA, Harvard, Vancouver, ISO, and other styles
We offer discounts on all premium plans for authors whose works are included in thematic literature selections. Contact us to get a unique promo code!

To the bibliography