In September 2018, the Smart Teddy project was founded by a group of researchers within the Hague University of Applied Sciences1 in the Netherlands. The Smart Teddy project is a multidisciplinary project aiming to create an interactive system, using a teddy bear as a focus point, which collects the data needed in order to enable seniors with dementia to live independently for a longer period of time. Over the last three years, three prototypes of the Smart Teddy have been developed. The Smart Teddy project was introduced as a final project for students following the BSc program Electrical Engineering at the Delft University of Technology. Starting in April 2021, a team of six students attempted to further develop the Smart Teddy over the course of 11 weeks. This thesis contains the Human Interaction & Integration subdomain of the Smart Teddy thesis project, where Human Interaction refers to the aspects of the Teddy that encourage interaction with the user, and Integration refers to the combination of all subdomains into one fully functioning prototype. In this thesis, the design choices, implementation methods and verification are discussed. The contribution to the prototype regarding Human Interaction & Integration are the addition of a movement system using pneumatics, the implementation of a flexible touch sensor, the ability for the Teddy to produce audio, to communicate wirelessly with the Base Station, and for all components in the Teddy to communicate with the main controller. The final prototype has been implemented using the Raspberry Pi Pico microcontroller, which was mounted on a custom PCB. All controls are provided by the Pico, and uses I2C, SPI, UART, and analog and digital inputs to communicate with the sensors and actuators. These sensors and actuators were implemented using off-the-shelf breakout boards and drivers, to allow for fast design and test iterations. The movement of the Teddy has been implemented using air pumps and molded silicon rubber, and the tail wagging is implemented using the same principle used for soft robotic grippers. The final prototype is fully functional and meets 16 of the 20 requirements - the requirement concerning speech recognition and the noise produced by the pumps have not been met.

The fashion industry's shift to a circular economy (CE) is vital to reducing its environmental impact. Currently responsible for 4% of global greenhouse gas emissions, more than aviation and shipping combined, the fashion industry's emissions are projected to rise by 2.7% annually without increased decarbonisation efforts. Circular-born start-ups (CBSs) are crucial in this transition by introducing circular innovations (CIs) that close, slow, or narrow resource loops. However, CBSs face challenges in market entry, and research on this topic is limited. This study, using a multiple-case study design within the French fashion industry, explores how CBSs introduce their CIs. Data was collected from nine French CBSs through semi-structured interviews and primary sources, complemented by two expert interviews. The study found that CBSs use circular strategies and approaches like recycling and repair to position their CIs, communicating value propositions through tangible and intangible benefits. Collaborations with brands, suppliers, and research centers are essential for market entry, knowledge development, and resource mobilization. CBSs face challenges such as regulatory compliance and market perceptions, which they address through continuous R&D and pilot projects. The study identifies six inducement mechanisms (e.g., regulatory support) and six blocking mechanisms (e.g., data gaps) influencing CI introduction. The research provides insights into the CE in the fashion industry, contextualizing CIs and offering empirical insights into CBS operations and interactions. It contributes to the Technological Innovation Systems (TIS) literature and has practical implications for enhancing CBS collaborations and supporting innovation in the industry.