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Real-Time Sensor Observation Segmentation For Complex Activity Recognition Within Smart Environments
(IEEE, 2017)
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 ...
A semantics-based approach to sensor data segmentation in real-time Activity Recognition
(Elsevier, 2018-10-17)
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. ...
Semantic modelling for learning styles and learning material in an e-learning environment
(IADIS, 2017-10-30)
Various learners with various requirements have led to the raise of a crucial concern in the area of e-learning. A new technology for propagating learning to learners worldwide, has led to an evolution in the e-learning ...
Towards a Service-oriented Architecture for a Mobile Assistive System with Real-time Environmental Sensing
(Tsinghua University Press, 2016)
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 ...
Towards a Mobile Assistive System Using Service-Oriented Architecture
(IEEE, 2016-05-19)
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 ...
Privacy Modelling and Management for Assisted Living within Smart Homes
(IEEE, 2017-12-18)
Ambient Assisted Living (AAL) technologies create intelligent systems to assist the aging population for a healthier and safer life in their living environment. Such systems usually
offer context-aware, personalized and ...
Wearable accelerometer based extended sleep position recognition
(IEEE, 2017-12-18)
Sleep positions have an impact on sleep quality and therefore need to be further analyzed. Current research on position tracking includes only the four basic positions. In the context of wearable devices, energy efficiency ...
Users’ Privacy Concerns in IoT based Applications
(IEEE, 2018-10)
In recent years user privacy has become an important aspect in the development of the Internet of Things (IoT) services due to their privacy invasive nature. However, there has been comparatively little research so far ...
Mining Learning Styles for Personalised eLearning
(IEEE, 2018-06)
In drive of inspecting user behaviour in an adaptive eLearning system, we investigate the eye gaze movement combined with the emotional state of learners with our experiment using eye tracker and the electroencephalography ...
An Experimental Study of Learning Behaviour in an ELearning Environment
(IEEE, 2019-01-24)
To reach an adaptive eLearning course, it is crucial to control and monitor the student behaviour dynamically to implicitly diagnose the student learning style. Eye tracing can serve that purpose by investigate the gaze ...