Multimodal assistive systems for a smart living environment

The paper proposes a survey of assistive smart spaces and ambient assisted living environments. Also design of a multimodal assistive system for a smart living environment is presented. The system consists of two software complexes. The first one provides video signal processing and surveillance for detecting and tracking a user as well as analysis of his/her activity. The second software complex provides audio signal processing for automatic recognition of speech messages and non-speech acoustic events. The developed automatic speech recognition system is multilingual one and is able to recognize words both in English and in Russian. At the experiments, 2811 wave files with speech commands and simulated acoustic events have been recorded in total. Recognition rate for speech commands and non-speech acoustic events was 96.5% and 93.8%, respectively.