The Smart Teddy Project
Design of a data acquisition system to monitor seniors with dementia and detect dangerous situations
A. Hamo (TU Delft - Electrical Engineering, Mathematics and Computer Science)
T.N. van der Spijk (TU Delft - Electrical Engineering, Mathematics and Computer Science)
Zaid Al-Ars – Mentor (TU Delft - Computer Engineering)
Hani Al-ers – Graduation committee member (The Hague University of Applied Sciences)
C.M. Jonker – Graduation committee member (TU Delft - Interactive Intelligence)
M. Moller – Graduation committee member (TU Delft - Numerical Analysis)
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Abstract
The amount of people dealing with dementia is rising globally. The amount of caretakers is, however, not. Therefore, technological aids are needed to support people dealing with dementia and relieve the stress on their caretakers. Current solutions provide tracking of people with dementia. Also, different robots exist that provide people with companionship. However, no solution exists that combines tracking and companionship capabilities. Therefore, the Smart Teddy is introduced. The Smart Teddy can track different indicators that indicate the progress of dementia and simultaneously provide the user with companionship through interaction. The goal of this thesis is to design a data acquisition system that acquires meaningful data that can be used for the development of algorithms that will autonomously determine the progress of dementia. To achieve this, a system with a Teddy and a Base station has been designed. The Teddy has a sound-, a carbon monoxide-, a smoke- and a movement sensor. Also, a real-time module is implemented to be able to assign the current time to the measurement data. Lastly, a GPS and GSM module is implemented to be able to track seniors in case they wander. In the Base station, a mmWave sensor is implemented that tracks the position, velocity, and direction of the persons present in the room. Also, a processor is implemented that gathers and stores the data from the mmWave sensor and the data from the Teddy which is sent via a LoRa connection. In addition, the designed system can store the collected data for more than one week. The collected data can be used by an expert in dementia to extract meaningful information about dementia progress, after that, an expert in digital signal processing is needed to develop algorithms that estimate the quality of life of a senior suffering from dementia.