Automatic Monitoring of Activities of Daily Living based on Real-life Acoustic Sensor Data: a~preliminary study

Lode Vuegen, Bert Van Den Broeck, Peter Karsmakers, Hugo Van hamme, Bart Vanrumste
2013 Workshop on Speech and Language Processing for Assistive Technologies  
This work examines the use of a low-power Wireless Acoustic Sensor Network (WASN) for the observation of clinically relevant activities of daily living (ADL) (e.g. eating, personal hygiene, toilet usage, etc.) from elderly. The sensors used in the WASN are both audio and ultrasound receivers. To the best of our knowledge, the combination of audio and ultrasound as a basis for ADL monitoring has not been investigated yet. This paper describes a baseline approach for ADL classification based on
more » ... ussian mixture models. Preliminary results in this work indicate that classification accuracies up to 85.0 % ± 14.6 for audio and 61.7% ± 11.3 for ultrasound are already achievable on realistic real-life recorded data.
dblp:conf/slpat/VuegenBKhV13 fatcat:hway7vpmv5ezbhpheapoi54hfq