RFexpress! - RF emotion recognition in the wild

Muneeba Raja, Stephan Sigg

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

8 Sitaatiot (Scopus)
248 Lataukset (Pure)

Abstrakti

We present RFexpress! the first-ever system to recognize emotion from body movements and gestures via Device-Free Activity Recognition (DFAR). We focus on the distinction between neutral and agitated states in realistic environments. In particular, the system is able to detect risky driving behaviour in a vehicular setting as well as spotting angry conversations in an indoor environment. In case studies with 8 and 5 subjects the system could achieve recognition accuracies of 82.9% and 64%. We study the effectiveness of DFAR emotion and activity recognition systems in real environments such as cafes, malls, outdoor and office spaces. We measure radio characteristics in these environments at different days and times and analyse the impact of variations in the Signal to Noise Ratio (SNR) on the accuracy of DFAR emotion and activity recognition. In a case study with 5 subjects, we then find critical SNR values under which activity and emotion recognition results are no longer reliable.

AlkuperäiskieliEnglanti
Otsikko2017 IEEE International Conference on Pervasive Computing and Communications Workshops, PerCom Workshops 2017
KustantajaIEEE
Sivut38-41
Sivumäärä4
ISBN (elektroninen)9781509043385
DOI - pysyväislinkit
TilaJulkaistu - 2 toukok. 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
Tapahtuma IEEE International Conference on Pervasive Computing and Communications Workshops - Kona, Yhdysvallat
Kesto: 13 maalisk. 201717 maalisk. 2017

Julkaisusarja

NimiInternational Conference on Pervasive Computing and Communications
ISSN (painettu)2474-2503

Conference

Conference IEEE International Conference on Pervasive Computing and Communications Workshops
LyhennettäPerCom Workshops
Maa/AlueYhdysvallat
KaupunkiKona
Ajanjakso13/03/201717/03/2017

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