Alberto Lorente-Leal
Papers
1
Total Citations
9
H-Index
1
About
Alberto Lorente-Leal’s research bridges embedded systems, human-computer interaction, and engineering education. His most cited work, “Development of a Wiimote-based gesture recognizer in a microprocessor laboratory course” (2010, 9 citations), exemplifies his focus on accessible, hands-on learning tools. In this project, students transformed a standard Wii remote into a gesture recognition system, using its accelerometer and infrared sensors to track movement trajectories and match them against pre-learned patterns. The work not only demonstrated a low-cost approach to gesture-based control but also served as a practical, engaging laboratory exercise for third-year microprocessor courses. This contribution highlights Lorente-Leal’s commitment to integrating novel hardware into pedagogy, allowing students to explore real-time signal processing and pattern recognition in a tangible way. While his citation count is modest, the impact lies in the educational innovation—providing a replicable model for teaching embedded systems through interactive, student-driven projects. His research underscores the value of combining consumer electronics with curriculum design to foster deeper understanding of microcontrollers and human-machine interfaces.
Research Focus
Key Achievements
Top Papers
- 1