35 research outputs found

    Fall detection using history triple features

    Full text link
    Accurate identification and timely handling of involuntary events, such as falls, plays a crucial part in effective as-sistive environment systems. Fall detection, in particular, is quite critical, especially in households of lonely elderly people. However, the task of visually identifying a fall is challenging as there is a variety of daily activities that can be mistakenly characterized as falls. To tackle this issue, various feature extraction methods that aim to effectively distinguish unintentional falls from other everyday activi-ties have been proposed. In this study, we examine the capability of the History Triple Features technique based on Trace transform, to provide noise robust and invariant to different variations features for the spatiotemporal represen-tation of fall occurrences. The aim is to effectively detect falls among other household-related activities that usually take place indoors. For the evaluation of the algorithm the video sequences from two realistic fall detection datasets of different nature have been used. One is constructed using a ceiling mounted depth camera and the other is constructed using an RGB camera placed on arbitrary positions in dif-ferent rooms. After forming the feature vectors, we train a support vector machine using a radial basis function kernel. Results show a very good response of the algorithm achiev-ing 100 % on both datasets indicating the suitability of the technique to the specific task. 1

    Fall prevention intervention technologies: A conceptual framework and survey of the state of the art

    Get PDF
    In recent years, an ever increasing range of technology-based applications have been developed with the goal of assisting in the delivery of more effective and efficient fall prevention interventions. Whilst there have been a number of studies that have surveyed technologies for a particular sub-domain of fall prevention, there is no existing research which surveys the full spectrum of falls prevention interventions and characterises the range of technologies that have augmented this landscape. This study presents a conceptual framework and survey of the state of the art of technology-based fall prevention systems which is derived from a systematic template analysis of studies presented in contemporary research literature. The framework proposes four broad categories of fall prevention intervention system: Pre-fall prevention; Post-fall prevention; Fall injury prevention; Cross-fall prevention. Other categories include, Application type, Technology deployment platform, Information sources, Deployment environment, User interface type, and Collaborative function. After presenting the conceptual framework, a detailed survey of the state of the art is presented as a function of the proposed framework. A number of research challenges emerge as a result of surveying the research literature, which include a need for: new systems that focus on overcoming extrinsic falls risk factors; systems that support the environmental risk assessment process; systems that enable patients and practitioners to develop more collaborative relationships and engage in shared decision making during falls risk assessment and prevention activities. In response to these challenges, recommendations and future research directions are proposed to overcome each respective challenge.The Royal Society, grant Ref: RG13082

    Reticular basement membrane thickness is associated with growth : and fibrosis-promoting airway transcriptome profile-study in asthma patients

    Get PDF
    Airway remodeling in asthma is characterized by reticular basement membrane (RBM) thickening, likely related to epithelial structural and functional changes. Gene expression profiling of the airway epithelium might identify genes involved in bronchial structural alterations. We analyzed bronchial wall geometry (computed tomography (CT)), RBM thickness (histology), and the bronchial epithelium transcriptome profile (gene expression array) in moderate to severe persistent (n = 21) vs. no persistent (n = 19) airflow limitation asthmatics. RBM thickness was similar in the two studied subgroups. Among the genes associated with increased RBM thickness, the most essential were those engaged in cell activation, proliferation, and growth (e.g., CDK20, TACC2, ORC5, and NEK5) and inhibiting apoptosis (e.g., higher mRNA expression of RFN34, BIRC3, NAA16, and lower of RNF13, MRPL37, CACNA1G). Additionally, RBM thickness correlated with the expression of genes encoding extracellular matrix (ECM) components (LAMA3, USH2A), involved in ECM remodeling (LTBP1), neovascularization (FGD5, HPRT1), nerve functioning (TPH1, PCDHGC4), oxidative stress adaptation (RIT1, HSP90AB1), epigenetic modifications (OLMALINC, DNMT3A), and the innate immune response (STAP1, OAS2). Cluster analysis revealed that genes linked with RBM thickness were also related to thicker bronchial walls in CT. Our study suggests that the pro-fibrotic profile in the airway epithelial cell transcriptome is associated with a thicker RBM, and thus, may contribute to asthma airway remodeling

    The contamination of atmospheric air as a hygiene problem of space improvement of the Higher Silesian Industrial District

    No full text

    Bibliothekarische Berufsethik in der externen Kommunikation. Eine Analyse der Websites deutscher Universitätsbibliotheken.

    No full text
    Diese Bachelorarbeit geht der Frage nach, ob bibliothekarische Berufsethik in der Kommunikation der Bibliotheken mit Externen eine Rolle spielt. Um das herauszufinden wurden die Websites von 80 deutschen Universitätsbibliotheken auf Aussagen mit bibliotheksethischer Relevanz hin untersucht. Die Analyse zeigt, dass Aspekte der Ethik-Kodizes der internationalen und der deutschen Grundsätze eine große Bedeutung in der Kommunikation mit externen Anspruchsgruppen haben. Darüber hinaus wird auf eine Diskrepanz im deutschen Bibliothekswesen eingegangen, die durch die Analyse besonders deutlich wird: Offensichtlich ist bibliothekarische Berufsethik sowohl für die Kommunikation als auch für die tägliche Ausübung der bibliothekarischen Tätigkeiten von großer Wichtigkeit – es findet jedoch kein Fachdiskurs statt.This bachelor thesis examines the question of whether professional library ethics play a role in the communication of libraries with external parties. The websites of 80 German university libraries were examined for statements with relevance to library ethics. The analysis shows that aspects of the ethics codes of the international and the German principles are of great importance in the communication with external stakeholders. Furthermore, a discrepancy in the German library system, which becomes particularly clear through the analysis, is addressed: Obviously, professional library ethics is of great importance both for communication and for the daily work in libraries – but there is no professional discourse

    An Unexpected Reaction between Diaryliodonium Salts and DMSO

    No full text
    Diaryliodonium salts are useful arylating reagents that have been exploited widely. In this Communication, we demonstrate that heating diphenyliodonium triflate in the solvent DMSO leads to an unexpected arylation reaction. It is postulated that arylation of DMSO at oxygen, followed by a thia-Sommelet–Hauser rearrangement, leads to the formation of 2-thiomethylphenols. More substituted diaryliodonium salts and cyclic diaryliodonium salts are shown to be more stable and less likely to react with DMSO. In conclusion, when using iodonium salts dissolved in DMSO, beware of side-reactions

    Event‐driven system for fall detection using body‐worn accelerometer and depth sensor

    No full text
    The authors present efficient and effective algorithms for fall detection on the basis of sequences of depth maps and data from a wireless inertial sensor worn by a monitored person. A set of descriptors is discussed to permit distinguishing between accidental falls and activities of daily living. Experimental validation is carried out on the freely available dataset consisting of synchronised depth and accelerometric data. Extensive experiments are conducted in the scenario with a static camera facing the scene and an active camera observing the same scene from above. Several experiments consisting of person detection, tracking and fall detection in real‐time are carried out to show efficiency and reliability of the proposed solutions. The experimental results show that the developed algorithms for fall detection have high sensitivity and specificity
    corecore