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Moreover, it plays an important role in human interaction, human\u2013robot interaction, and brain\u2013computer interaction. When these approaches have to be developed, different efforts from signal processing and artificial intelligence are considered. In that sense, this article aims to present a concise review of signal processing in human activitiy recognition systems and describe two examples and applications both in human activity recognition and robotics: human\u2013robot interaction and socialization, and imitation learning in robotics. In addition, it presents ideas and trends in the context of human activity recognition for human\u2013robot interaction that are important when processing signals within that systems. <\/jats:p>","DOI":"10.1177\/1550147719853987","type":"journal-article","created":{"date-parts":[[2019,6,11]],"date-time":"2019-06-11T12:25:54Z","timestamp":1560255954000},"page":"155014771985398","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":22,"title":["A concise review on sensor signal acquisition and transformation applied to human activity recognition and human\u2013robot interaction"],"prefix":"10.1177","volume":"15","author":[{"given":"Lourdes","family":"Mart\u00ednez-Villase\u00f1or","sequence":"first","affiliation":[{"name":"Facultad de Ingenier\u00eda, Universidad Panamericana, Ciudad de M\u00e9xico, 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