Kuijper, ArjanRus, SilviaChaudry, Zaki UllahZaki UllahChaudry2019https://publica.fraunhofer.de/handle/publica/282761We live in a world where wearable technology is fast becoming a part of our daily lives. These wearables vary from a wide range of gadgets such as watches, goggles, shoes, textile etc. One thing all of these wearables have in common is health and fitness monitoring in order to make human life better, which is being achieved by the help of monitoring the activities of the users with the help of various sensors incorporated within the wearable technology. In this thesis the main focus is on creating a smart textile which typically could be placed on different forms of furniture being used in daily life such as bed, chair, couch or table, which than monitors the activities and ergonomics of the person using the furniture. Based on the embedded sensor matrix and advanced algorithms the textile would automatically detect the type of furniture it is placed on. The textile will also constitute of capacitive sensors which, separately or in combination with the accelerometer sensors, detect the user activity (by detecting the breathing rhythm, movement or user interaction). When used in combination with a bed this textile with the help of the sensors will be able to detect the movement, breathing rhythm and user interaction for the user. The same prototype can be used by a person sitting on a chair or couch to detect the breathing, movement and interaction. In case of a table the prototype will be able to measure movement and interaction only. Some smart furniture is already available in the market, but the prices are often to high for a average user to be able to afford them and also the use is limited to just one product. With this textile a user can convert existing dumb furniture into smart furniture, hence providing a wide range of usage with the help of just one textile. In result creating a place-able smart textile technology for a better and healthy lifestyle at an affordable price. This textile minimizes the distance between humans and smart living and fills in the gaps which are beyond the capacity of current wearable technology, while staying cost effective and flexible. Therefore being a great addition to the ecosystem of smart living.enLead Topic: Smart CityResearch Line: Human computer interaction (HCI)smart livingsmart objectsmart textile006006master thesis