Simulation-driven design smart gloves gesture is a M.Tech project topic for Mechanical Engineering. It gives students a clear starting point for research, implementation planning, and documentation.
Simulation-driven design smart gloves gesture Project Details
| Abstract |
Developing wearable human‑machine interfaces, such as smart gloves for gesture recognition, needs a careful co‑design of flexibility and sensor performance. This research offers a simulation‑driven design method to choose sensor locations, materials, and the glove’s structural response. Finite element analysis (FEA) simulates the glove’s mechanical behavior during different hand gestures, showing stress distribution, strain concentration, and overall structural integrity. The computational model links hand movements to sensor deformation, allowing prediction of electrical signal changes without building a physical prototype first. This simulation‑first approach lets us compare substrate materials—like elastomers and textiles—and various sensor layouts to achieve high sensitivity, low hysteresis, and user comfort. The result is a robust design pipeline
that connects structural mechanics with sensor signal characteristics, providing a reliable foundation for accurate, durable gesture‑recognition systems. The framework gives clear guidance for optimizing the glove structure and integrating sensors into the substrate.
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| Reference Paper |
Simulation-driven design of smart gloves for gesture recognition. |
| Domain |
Mechanical Engineering |
| Sub-Domain |
Design & Manufacturing / CAD/CAM/CAE / Simulation-Driven Design |
| PDF Download |
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| Get Help |
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