Integration of a wearable interface in a design-to-robotic-production and -operation development
Alexander Liu Cheng (Universidad Internacional SEK, Quito, TU Delft - Digital Architecture)
H. H. Bier (TU Delft - Digital Architecture, Anhalt University of Applied Sciences Dessau, Dessau Institute of Architecture)
S Mostafavi (Anhalt University of Applied Sciences Dessau, Dessau Institute of Architecture, TU Delft - Digital Architecture)
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Abstract
This paper presents the integration of an Internet of Things wearable device as a personal interfacing node in an intelligent built-environment framework, which is informed by Design-to-Robotic-Production and -Operation principles developed at Delft University of Technology. The device enables the user to act as an active node in the built-environment's underlying Wireless Sensor and Actuator Network, thereby permitting a more immediate and intuitive relationship between the user and his/her environment, where this latter is integrated with physical / computational adaptive systems and services. Two main resulting advantages are identified and illustrated. On the one hand, the device's sensors provide personal (i.e., body temperature / humidity, physical activity) as well as immediate environmental (i.e., personal-space air-quality) data to the built-environment's embedded / ambulant systems. Moreover, rotaries on the device enable the user to override automatically established illumination and ventilation settings in order to accommodate user-preferences. On the other hand, the built-environment's systems provide notifications and feedback with respect to their status to the device, thereby raising user-awareness of the state of his/her surroundings and corresponding interior environmental conditions. In this manner, the user becomes a context-aware node in a Cyber-Physical System. The present work promotes a considered relationship between the architecture of the built-environment and the Information and Communication Technologies embedded and/or deployed therein in order to develop highly effective alternatives to existing Ambient Intelligence solutions.