In passive ultra-high frequency (UHF) radio frequency identification (RFID) systems, the tag consists only of an antenna and a simple integrated circuit (IC). The tag gets all the needed power from the RFID reader and can be thus seamlessly and in a maintenance-free way integrated into clothing.
In the thesis, it is presented that by integrating passive UHF RFID technology into clothing, body movements and gestures can be monitored by monitoring the individual IDs and backscattered signals of the tags. Electro-textiles and embroidery with conductive thread are found to be suitable options when manufacturing and materials for such garments are considered.
The thesis establishes several RFID-based interface solutions, multiple types of inputs through RFID platforms, and controlling the surrounding and communicating with RFID-based on/off functions.
The developed intelligent clothing is visioned to provide versatile applications for assistive technology, for entertainment, and ambient assistant living, and for comfort and safety in work environments, just to name a few examples.
The doctoral dissertation of M.Sc. (Tech) Adnan Mehmood in the field of Biomedical Sciences and Engineering titled Clothing-Integrated Human-Technology Interaction will be publicly examined at the Faculty of Medicine and Health Technology of Tampere University at 12:00 pm on Friday 8 April 2022. The Opponent will be Associate Professor (Tenure Track) Simo Hosio from University of Oulu while Adjunct Professor Johanna Virkki from Tampere University will act as the custos.