Henry Odoemelem
Kristof Van Laerhoven
ABSTRACT
Head motion-based interfaces for controlling robot arms in real time have been presented in both medical-oriented research as well as human-robot interaction. We present an especially minimal and low-cost solution that uses the eSense [1] ear-worn prototype as a small head-worn controller, enabling direct control of an inexpensive robot arm in the environment. We report on the hardware and software setup, as well as the experiment design and early results.
- Fahim Kawsar, Chulhong Min, Akhil Mathur, and Allesandro Montanari. 2018. Earables for Personal-Scale Behavior Analytics. IEEE Pervasive Computing 17, 3 (jul 2018), 83--89.Google Scholar
Digital Library
- Hyung Gi Min and Eun Tae Jeung. 2015. Complementary filter design for angle estimation using mems accelerometer and gyroscope. Department of Control and Instrumentation, Changwon National University, Changwon, Korea (2015), 641--773.Google Scholar
- Mark Pedley. 2013. Tilt sensing using a three-axis accelerometer. Freescale semiconductor application note 1 (2013), 2012--2013.Google Scholar
- Nina Rudigkeit and Marion Gebhard. 2019. AMiCUS - A Head Motion-Based Interface for Control of an Assistive Robot. Sensors 19, 12 (2019), 2836. https://doi.org/10.3390/s19122836Google ScholarCross Ref
Index Terms
- Using the eSense Wearable Earbud as a Light-Weight Robot Arm Controller
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