Detection of semantic risk situations in lifelog data for improving life of frail people
Yebda, Thinhinane, Benois-Pineau, JennyORCID: 0000-0003-0659-8894, Pech, Marion, Amièva, Hélène and Gurrin, CathalORCID: 0000-0003-2903-3968
(2020)
Detection of semantic risk situations in lifelog data for improving life of frail people.
In: 2020 International Conference on Multimedia Retrieval (ICMR'20), 26-29 June 2020, Dublin, Ireland.
ISBN 978-1-4503-7087-5
The automatic recognition of risk situations for frail people is an
urgent research topic for the interdisciplinary artificial intelligence
and multimedia community. Risky situations can be recognized
from lifelog data recorded with wearable devices. In this paper, we
present a new approach for the detection of semantic risk situations
for frail people in lifelog data. Concept matching between general
lifelog and risk taxonomies was realized and tuned AlexNet was
deployed for detection of two semantic risks situations such as risk
of domestic accident and risk of fraud with promising results.