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    Browsing by Author "Triboan, Darpan"

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      • Fuzzy-Based Fine-Grained Human Activity Recognition within Smart Environments 

        Triboan, Darpan; Chen, Liming; Chen, Feng (Conference)
        With the increasing ageing population, Smart Home (SH) has been under vigorous investigation to enable Ambient Assisted Living (AAL) and foster independent living. Human Activity Recognition (HAR) is the backbone of AAL ...
      • Inferring Complex Activities for Context-aware Systems within Smart Environments 

        Triboan, Darpan (Thesis or dissertation / Doctoral / PhD)
        The rising ageing population worldwide and the prevalence of age-related conditions such as physical fragility, mental impairments and chronic diseases have significantly impacted the quality of life and caused a shortage ...
      • Multi-granular Activity Recognition within a Multiple Occupancy Environment 

        Triboan, Darpan; Chen, Liming; Chen, Feng; Wang, Zumin (Book chapter)
      • Real-Time Sensor Observation Segmentation For Complex Activity Recognition Within Smart Environments 

        Triboan, Darpan; Chen, Liming; Chen, Feng; Fallmann, S.; Psychoula, Ismini (Conference)
        Activity Recognition (AR) is at the heart of any types of assistive living systems. One of the key challenges faced in AR is segmentation of the sensor events when inhabitant performs simple or composite activities of daily ...
      • Reality and Perception: Activity monitoring and data collection within a real-world smart home 

        Fallmann, S.; Psychoula, Ismini; Chen, Liming; Chen, Feng; Doyley, J.; Triboan, Darpan (Conference)
        Smart home technologies have been developing rapidly in the last few years. However, there is still a lack of annotated rich datasets that can be used for different analysis purposes by researchers. The motivation for ...
      • Semantic segmentation of real-time sensor data stream for complex activity recognition 

        Triboan, Darpan; Chen, Liming; Chen, Feng; Wang, Zumin (Article)
        Data segmentation plays a critical role in performing human activity recognition in the ambient assistant living systems. It is particularly important for complex activity recognition when the events occur in short bursts ...
      • A semantics-based approach to sensor data segmentation in real-time Activity Recognition 

        Triboan, Darpan; Chen, Liming; Chen, Feng; Wang, Zumin (Article)
        Activity Recognition (AR) is key in context-aware assistive living systems. One challenge in AR is the segmentation of observed sensor events when interleaved or concurrent activities of daily living (ADLs) are performed. ...
      • Towards a Mobile Assistive System Using Service-Oriented Architecture 

        Triboan, Darpan; Chen, Liming; Chen, Feng (Conference)
        As the aging population grows, age-related diseases show a cohesive increase. Ambient Assistive Living (AAL) systems are being developed and are continually evolving in various areas. While most researchers focus on robust ...
      • Towards a Service-oriented Architecture for a Mobile Assistive System with Real-time Environmental Sensing 

        Triboan, Darpan; Chen, Liming; Chen, Feng; Wang, Zumin (Article)
        With the growing aging population, age-related diseases have increased considerably over the years. In response to these, ambient assistive living (AAL) systems are being developed and are continually evolving to enrich ...

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