MBOSS: a symbolic representation of human activity recognition using mobile sensors (2018)
- Authors:
- Autor USP: BATISTA, DANIEL MACEDO - IME
- Unidade: IME
- DOI: 10.3390/s18124354
- Subjects: RECONHECIMENTO DE PADRÕES; INTELIGÊNCIA ARTIFICIAL; TELEFONIA CELULAR
- Keywords: human activity recognition; symbolic representation; inertial sensors; smartphone
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Este periódico é de acesso aberto
- Este artigo é de acesso aberto
- URL de acesso aberto
- Cor do Acesso Aberto: gold
- Licença: cc-by
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ABNT
QUISPE, Kevin Montero et al. MBOSS: a symbolic representation of human activity recognition using mobile sensors. Sensors, v. 18, n. 12, p. 1-21, 2018Tradução . . Disponível em: https://doi.org/10.3390/s18124354. Acesso em: 16 abr. 2024. -
APA
Quispe, K. M., Lima, W. S., Batista, D. M., & Souto, E. (2018). MBOSS: a symbolic representation of human activity recognition using mobile sensors. Sensors, 18( 12), 1-21. doi:10.3390/s18124354 -
NLM
Quispe KM, Lima WS, Batista DM, Souto E. MBOSS: a symbolic representation of human activity recognition using mobile sensors [Internet]. Sensors. 2018 ; 18( 12): 1-21.[citado 2024 abr. 16 ] Available from: https://doi.org/10.3390/s18124354 -
Vancouver
Quispe KM, Lima WS, Batista DM, Souto E. MBOSS: a symbolic representation of human activity recognition using mobile sensors [Internet]. Sensors. 2018 ; 18( 12): 1-21.[citado 2024 abr. 16 ] Available from: https://doi.org/10.3390/s18124354 - A Survey of Large Scale Data Management Approaches in Cloud Environments
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Informações sobre o DOI: 10.3390/s18124354 (Fonte: oaDOI API)
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