Since various dance teaching systems have attracted much attention with the development of Artificial Intelligence (AI) technology, this paper improves the recognition performance of Latin dance teaching systems by optimizing the action recognition model. Firstly, the object detection and action recognition technology under the current AI technology is analyzed, and the Two-stage object detection algorithm and One-stage object detection algorithm are evaluated. Secondly, the technologies and functions contained in the adolescent health Latin dance teaching system are described, including image acquisition, feature extraction, object detection, and action recognition. Finally, the action recognition algorithm is optimized based on object detection, and the rationality and feasibility of the proposed algorithm are verified by experiments. The experimental results show that the optimization algorithm can search the optimal feature subset after five iterations on Undefine Classes of 101 (UCF101) dataset, but it needs seven iterations on Human Motion Database 51 (HMDB51) dataset. Meanwhile, when using support vector machine classifier, the optimization algorithm can achieve the highest accuracy of motion recognition. Regressive Function, Multinomial Naive Bayes and Gaussian Naive Bayes Algorithms have lower prediction delay, as low as 0.01s. Therefore, this paper has certain reference significance for the design and implementation of adolescent health Latin dance teaching system.
Heat stroke is a medical emergency which may lead to mortality unless diagnosed early and treated effectively. Heat stroke may manifest rapidly, hence making it difficult to differentiate it from other clinical causes in a collapsed victim.(1) We are presenting a case report of twelve patients who were admitted to our emergency department from a music festival held on 13-15th of March 2014. They developed complications arising from a combination of severe adverse weather condition, prolonged outdoor physical exertion due to long hours of dancing and drug-use, resulting in heat stroke. Three of them died while the remaining patients survived. Their condition was initially misdiagnosed as a classical illicit drug overdose. This was based on the history of drug ingestion by some of the patients who attended the music festival on that day. The information in this case report aims, to create awareness amongst members of the medical team on duty in outdoor events, pre hospital responders and ED physicians when treating and managing similar cases in the future. In addition it is intended to warn the organizers of such events to take adequate precautions to avoid such tragedies in the future.
This study questions the widely held assumption that the phenomenon known as mass psychogenic illness (MPI) exists per se in nature as a psychiatric disorder. Most MPI studies are problematical, being descriptive, retrospective investigations of specific incidents which conform to a set of pre-existing symptom criteria that are used to determine the presence of collective psychosomatic illness. Diagnoses are based upon subjective, ambiguous categories that reflect stereotypes of female normality which assume the presence of a transcultural disease or disorder entity, underemphasizing or ignoring the significance of episodes as culturally conditioned roles of social action. Examples of this bias include the mislabelling of dancing manias, tarantism and demonopathy in Europe since the Middle Ages as culture-specific variants of MPI. While 'victims' are typified as mentally disturbed females possessing abnormal personality characteristics who are exhibiting cathartic reactions to stress, it is argued that episodes may involve normal, rational people who possess unfamiliar conduct codes, world-views and political agendas that differ significantly from those of Western-trained investigators who often judge these illness behaviours independent of their local context and meanings.