Body-area networks have become a key scenario for pattern recognition technologies. Applications range from implicit human-machine interactions, to autonomous monitoring of user habits and activities. This paper presents a general framework that provide developers with tools to orchestrate the continuous process of collecting and classifying data streams. This can facilitate the development of humanaware applications, i.e., applications that can adapt to the context of their users. The framework supports service oriented, reconfigurable components and provides a solid background to put at joint work specification-and data-driven approaches. It also provides an innovative meta-classification scheme allowing developers to implement applications by editing a state automata. Experimental results suggest that the approach could be integrated in a number of applications for: (i) improving energy efficiency, (ii) improving classification accuracy and (iii) improving software engineering of aware systems.

Towards a human-aware operating system / Bicocchi, N.; Fontana, D.; Zambonelli, F.. - (2014), pp. 260-265. ((Intervento presentato al convegno 9th International Conference on Body Area Networks, BODYNETS 2014 tenutosi a gbr nel 2014 [10.4108/icst.bodynets.2014.257047].

Towards a human-aware operating system

Bicocchi N.
;
Zambonelli F.
2014

Abstract

Body-area networks have become a key scenario for pattern recognition technologies. Applications range from implicit human-machine interactions, to autonomous monitoring of user habits and activities. This paper presents a general framework that provide developers with tools to orchestrate the continuous process of collecting and classifying data streams. This can facilitate the development of humanaware applications, i.e., applications that can adapt to the context of their users. The framework supports service oriented, reconfigurable components and provides a solid background to put at joint work specification-and data-driven approaches. It also provides an innovative meta-classification scheme allowing developers to implement applications by editing a state automata. Experimental results suggest that the approach could be integrated in a number of applications for: (i) improving energy efficiency, (ii) improving classification accuracy and (iii) improving software engineering of aware systems.
9th International Conference on Body Area Networks, BODYNETS 2014
gbr
2014
260
265
Bicocchi, N.; Fontana, D.; Zambonelli, F.
Towards a human-aware operating system / Bicocchi, N.; Fontana, D.; Zambonelli, F.. - (2014), pp. 260-265. ((Intervento presentato al convegno 9th International Conference on Body Area Networks, BODYNETS 2014 tenutosi a gbr nel 2014 [10.4108/icst.bodynets.2014.257047].
File in questo prodotto:
Non ci sono file associati a questo prodotto.
Pubblicazioni consigliate

Caricamento pubblicazioni consigliate

Licenza Creative Commons
I metadati presenti in IRIS UNIMORE sono rilasciati con licenza Creative Commons CC0 1.0 Universal, mentre i file delle pubblicazioni sono rilasciati con licenza Attribuzione 4.0 Internazionale (CC BY 4.0), salvo diversa indicazione.
In caso di violazione di copyright, contattare Supporto Iris

Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/11380/1239941
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 2
  • ???jsp.display-item.citation.isi??? ND
social impact