Abstract

AbstractLong term eldercare is often labor intensive. This paper addresses a multimodal sensing approach to situation awareness for elderly care using video and force sensitive resistor (FSR) sensor map. For elderly people, especially those with limited mobility, it is useful to keep care givers or family members known of their situations that may lead to abnormal patterns such as repeated action (get up and sit down) or hazardous result such as a falling from bed. By using multimodal sensing with video camera and FSR sensor, the situation awareness algorithm is proposed to detect and track human activities. Experiments have shown the effectiveness of the detection of primary situations for elderly care.KeywordsEldercareMultimodal feature extractionMultimodal situation awarenessObject trackingActivity understanding

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