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Mobility impaired individuals need the wheelchair to support their independent life, so monitor activities performed on the wheelchair can provide significant insights on their general health status. Activity recognition related to healthy people is a well established research area; however, only few works addressed this problem for wheelchair users. This paper proposes a novel approach based on dynamic...
Taking advantage of online customer reviews for recommendation system is becoming increasingly important in e-commerce field due to rich implication information of reviews. By analyzing the sentiments and topics through these reviews, a set of sentimental features (SF) can be exploited to represent customer preference. In this work, we firstly construct user-SF matrix instead of traditional user-item...
With the elderly and disabled population increasing worldwide, the functionalities of smart wheelchairs as mobility assistive equipment are becoming more enriched and extended. Although there is a well-established body of literature on fatigue detection methods and systems, fatigue detection for wheelchair users has still not been widely explored. This paper proposes a neuro-fuzzy fatigue tracking...
According to the characteristics of the performance parameters for gyroscopes' degradation, we put forward a degradation trend prediction method with combination of empirical mode decomposition(EMD) and self-organizing mapping (SOM) quantization error model (MQE)for them. Firstly, we collect some weak signals as feature information for gyroscopes' degradation states, and use EMD to realize adaptive...
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