Tijana Timotijevic
Papers
2
Total Citations
21
H-Index
2
About
Tijana Timotijevic is a researcher focused on advancing human motion capture through on-body sensing, with key contributions in signal processing, sensor placement, and power-efficient system design. Her work addresses critical challenges in wearable technology for motor rehabilitation, particularly the trade-offs between measurement accuracy, sensor flexibility, and energy consumption. In her most-cited paper (2013, 17 citations), she introduced a signal processing approach to improve flexibility in sensor placement for motion capture systems, reducing variability caused by positional changes relative to anatomical landmarks. She further advanced the field by developing methods to reduce power consumption while increasing measurement accuracy in on-body sensing systems (2015, 4 citations), directly tackling the wearability and repeatability barriers that limit clinical adoption of biofeedback-driven rehabilitation. Timotijevic’s research bridges the gap between theoretical signal processing and practical wearable system design, offering solutions that make motion capture more robust and accessible for assisted motor rehabilitation. Her work is particularly notable for addressing the real-world constraints of power efficiency and sensor placement tolerance, which are essential for translating laboratory-grade motion capture into everyday clinical and home-use applications.
Research Focus
Key Achievements
Top Papers
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