Emotion can be influenced during self-isolation, and to avoid severe mood swings, emotional regulation is meaningful. To achieve this, efficiently recognizing emotion is a vital step, which can be realized by electroencephalography signals. Previously, inspired by the knowledge of sequencing in bioinformatics, a method termed brain rhythm sequencing that analyzes electroencephalography as the sequence consisting of the dominant rhythm has been proposed for seizure detection. In this work, with the help of similarity measure methods, the asymmetric features are extracted from the sequences generated by different channel data. After evaluating all asymmetric features for emotion recognition, the optimal feature that yields remarkable accuracy is identified. Therefore, the classification task can be accomplished through a small amount of channel data. From a music emotion recognition experiment and a public DEAP dataset, the classification accuracies of various test sets are approximately 80–85% when employing an optimal feature extracted from one pair of symmetrical channels. Such performances are impressive when using fewer resources is a concern. Further investigation revealed that emotion recognition shows strongly individual characteristics, so an appropriate solution is to include the subject-dependent properties. Compared to the existing works, this method benefits from the design of a portable emotion-aware device used during self-isolation, as fewer scalp sensors are needed. Hence, it would provide a novel way to realize emotional applications in the future.
Ethnopharmacology, the study of ethnic use of drugs, opens up the crucial gateway to understanding and promoting traditional medicine in the new age. Taiwan is a unique region where traditional medicine and herbal therapeutics have been benefiting its people of multiple races for centuries. This article overviews Taiwan''s indigenous traditional medicine and the emerging status of ethnopharmacology study, and outlines the global scenario of the inheritance and development of traditional medicine. In such a scope of knowledge protection, this article particularly highlights the challenges with bioprospecting and biopiracy, and summarizes the current measures for protection of traditional knowledge in Taiwan. Finally, based upon these analyses, we propose rational strategies for promoting Taiwan''s ethnopharmacology, from multiple angles of resource, economy, policy and law. We conclude that four measures, namely (1) protecting the natural environment of biodiversity, (2) avoiding unnecessary conflicts caused by bioprospecting and biopiracy, (3) strengthening the international collaboration, and (4) upgrading the legal system of traditional intelligence, would be the right paths for Taiwan to protect its invaluable heritage of traditional medicine and the knowledge of ethnopharmacology therein. 相似文献