Literature DB >> 29324407

Head Motion and Head Gesture-Based Robot Control: A Usability Study.

Anja Jackowski, Marion Gebhard, Roland Thietje.   

Abstract

The assistive robot system adaptive head motion control for user-friendly support (AMiCUS) has been developed to increase the autonomy of motion impaired people. The six degrees of freedom robot arm with gripper is controlled with head motion and head gestures only, so especially tetraplegics benefit from collaboration with AMiCUS. In this paper, a usability study with a total number of 30 subjects was conducted to validate the AMiCUS interaction technology and design. 24 able-bodied subjects of demographically diverse groups and 6 tetraplegics participated in this paper. All subjects performed different pick and place tasks by controlling AMiCUS. The evaluation of the interaction design was carried out subjectively with a questionnaire as well as objectively by measurement of time, completion rate, and number of trials for correct head gesture performance. The influence of several factors like age, sex, motion impairment, and previous experience on head motion-based human-robot interaction was analyzed. The interaction design has been proven successful in laboratory environment and assessed overall positive by the subjects. The results of the presented paper confirm the usability of the assistive robot AMiCUS. AMiCUS has the potential to benefit tetraplegics by improving their independence in activities of daily living and adapted workplaces.

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Year:  2018        PMID: 29324407     DOI: 10.1109/TNSRE.2017.2765362

Source DB:  PubMed          Journal:  IEEE Trans Neural Syst Rehabil Eng        ISSN: 1534-4320            Impact factor:   3.802


  5 in total

1.  Gyroscope-Based Continuous Human Hand Gesture Recognition for Multi-Modal Wearable Input Device for Human Machine Interaction.

Authors:  Hobeom Han; Sang Won Yoon
Journal:  Sensors (Basel)       Date:  2019-06-05       Impact factor: 3.576

2.  SteadEye-Head-Improving MARG-Sensor Based Head Orientation Measurements Through Eye Tracking Data.

Authors:  Lukas Wöhle; Marion Gebhard
Journal:  Sensors (Basel)       Date:  2020-05-12       Impact factor: 3.576

3.  Performance Analysis of a Head and Eye Motion-Based Control Interface for Assistive Robots.

Authors:  Sarah Stalljann; Lukas Wöhle; Jeroen Schäfer; Marion Gebhard
Journal:  Sensors (Basel)       Date:  2020-12-14       Impact factor: 3.576

4.  AMiCUS 2.0-System Presentation and Demonstration of Adaptability to Personal Needs by the Example of an Individual with Progressed Multiple Sclerosis.

Authors:  Nina Rudigkeit; Marion Gebhard
Journal:  Sensors (Basel)       Date:  2020-02-21       Impact factor: 3.576

5.  Towards Robust Robot Control in Cartesian Space Using an Infrastructureless Head- and Eye-Gaze Interface.

Authors:  Lukas Wöhle; Marion Gebhard
Journal:  Sensors (Basel)       Date:  2021-03-05       Impact factor: 3.576

  5 in total

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