WiBot! In-vehicle behaviour and gesture recognition using wireless network edge

Muneeba Raja, Viviane Ghaderi, Stephan Sigg

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference article in proceedingsScientificvertaisarvioitu

28 Sitaatiot (Scopus)
382 Lataukset (Pure)

Abstrakti

Recent advancements in vehicular technology have meant that integrated wireless devices such as Wi-Fi access points or bluetooth are deployed in vehicles at an increasingly dense scale. These vehicular network edge devices, while enabling in car wireless connectivity and infotainment services, can also be exploited as sensors to improve environmental and behavioural awareness that in turn can provide better and more personalised driver feedback and improve road safety. We present WiBot! a network-edge based behaviour recognition and gesture based personal assistant system for cars. WiBot leverages the vehicular network edge to detect distracted behaviour based on unusual head turns and arm movements during driving situations by monitoring radio frequency fluctuation patterns in real-time. Additionally, WiBot can recognise known gestures from natural arm movements while driving and use such gestures for passenger-car interaction. A key element of WiBot design is its impulsive windowing approach that allows start and end of gestures to be accurately identified in a continuous stream of data. We validate the system in a realistic driving environment by conducting a non-choreographed continuous recognition study with 40 participants at BMW Group Research, New Technologies and Innovation centre. By combining impulsive windowing with a unique selection of features from peaks and subcarrier analysis of RF CSI phase information, the system is able to achieve 94.5% accuracy for head-vs. arm movement separation. We can further confidently differentiate relevant gestures from random arm and head movements, head turns and idle movement with 90.5% accuracy.

AlkuperäiskieliEnglanti
OtsikkoProceedings - 2018 IEEE 38th International Conference on Distributed Computing Systems, ICDCS 2018
KustantajaIEEE
Sivut376-387
Sivumäärä12
Vuosikerta2018-July
ISBN (elektroninen)9781538668719
ISBN (painettu)978-1-5386-6872-6
DOI - pysyväislinkit
TilaJulkaistu - 19 heinäk. 2018
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Conference on Distributed Computing Systems - Vienna, Itävalta
Kesto: 2 heinäk. 20185 heinäk. 2018
Konferenssinumero: 38

Julkaisusarja

NimiInternational Conference on Distributed Computing Systems
ISSN (elektroninen)2575-8411

Conference

ConferenceInternational Conference on Distributed Computing Systems
LyhennettäICDCS
Maa/AlueItävalta
KaupunkiVienna
Ajanjakso02/07/201805/07/2018

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