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Erschienen in:
2015 | OriginalPaper | Buchkapitel
Evaluating Wearable Activity Recognition and Fall Detection Systems
verfasst von : Juan Antonio Álvarez-García, Luis Miguel Soria Morillo, Miguel Ángel Álvarez de La Concepción, Alejandro Fernández-Montes, Juan Antonio Ortega Ramírez
Erschienen in: 6th European Conference of the International Federation for Medical and Biological Engineering
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Activity recognition (AR) and fall detection (FD) research areas are very related in assistance scenarios but evolve independently. Evaluate them is not trivial and the lack of FD real-world datasets implies a big issue. A protocol that fuses AR and FD is proposed to achieve a large, open and growing dataset that could, potentially, provide an enhanced understanding of the activities and fall process and the information needed to design and evaluate high-performance systems.