This master's thesis presents the development of a assistive device designed to improve the quality of life for elderly individuals, particularly those with dementia. The device, named TIKA, integrates functionalities such as voice assistance, spatial localization, and fall detection. It utilizes modern technologies including Bluetooth Low Energy - BLE, ultra-wideband - UWB, GPS, and LTE to enable presence detection, movement tracking, and voice interaction through pre-recorded audio messages from family members. Additionally, it incorporates physiological sensors and supports the use of reminders and communication with caregivers. The device is based on the ESP32-S3 microcontroller and is designed using multiple printed circuit boards. The thesis covers the complete development cycle—from initial concept and design through implementation and testing.
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