# Low-cost Sensor Glove with Force Feedback for Learning from Demonstrations using Probabilistic Trajectory Representations

arXiv: https://arxiv.org/abs/1510.03253 · HTML: https://mlsanity.com/paper/1510.03253/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 12 Oct 2015.

## Built on by (most cited first, 1 of 1)

- [AirGlove: Exploring Egocentric 3D Hand Tracking and Appearance Generalization for Sensing Gloves](https://mlsanity.com/paper/2602.05159/) (2026)

## Abstract (arXiv)

Sensor gloves are popular input devices for a large variety of applications including health monitoring, control of music instruments, learning sign language, dexterous computer interfaces, and tele-operating robot hands. Many commercial products as well as low-cost open source projects have been developed. We discuss here how low-cost (approx. 250 EUROs) sensor gloves with force feedback can be build, provide an open source software interface for Matlab and present first results in learning object manipulation skills through imitation learning on the humanoid robot iCub.