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Connected vehicles need to be aware of their surrounding environments. This is impossible without being dependent on many sensory inputs. Sensor data is continually collected and analysed, in real
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device’s built-in sensors. This project will use Mixed Reality headsets to extract information from the wearer’s surroundings to enhance digital infrastructure models in real time. Recent advances in
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and communication skills in healthcare. You will use sensor-technology to capture multimodal ‘trace’ data including gestures, speech, workspace spatial layout and manual handling of objects. You will
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This project aims to harness big data from ubiquitous smartphone sensors to reduce the impact of road transport on the environment. Specifically, we’ll design novel data modelling and indexing
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particularly interested in supervising students focusing on two broad scenarios: Analytics of the classroom physical space. This would include collecting information via sensors from authentic classrooms and
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Situation-awareness is the key to enabling intelligent IoT applications. Situation reasoning is used to aggregate multiple contextual information from physical and social sensors using reasoning
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-problems concerning: activity capture (incorporating computer vision and sensor information to map and identify changes in the environment); activity representation (modelling of the activity and environment
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involve software development using the Unity development environment or prototyping with miniature sensors and other hardware such as Arduino. This project will provide an opportunity for the student
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illustrative example of this strand of research: “I Spent More Time with that Team”: Making Spatial Pedagogy Visible Using Positioning Sensors. LAK 2019 [PDF ]