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

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... 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.