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.