{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,12]],"date-time":"2025-10-12T02:44:25Z","timestamp":1760237065190,"version":"build-2065373602"},"reference-count":25,"publisher":"MDPI AG","issue":"4","license":[{"start":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T00:00:00Z","timestamp":1582243200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"Federal Ministry of Education and Research of Germany","award":["01158324"],"award-info":[{"award-number":["01158324"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>AMiCUS is a human\u2013robot interface that enables tetraplegics to control an assistive robotic arm in real-time using only head motion, allowing them to perform simple manipulation tasks independently. The interface may be used as a standalone system or to provide direct control as part of a semi-autonomous system. Within this work, we present our new gesture-free prototype AMiCUS 2.0, which has been designed with special attention to accessibility and ergonomics. As such, AMiCUS 2.0 addresses the needs of tetraplegics with additional impairments that may come along with multiple sclerosis. In an experimental setup, both AMiCUS 1.0 and 2.0 are compared with each other, showing higher accessibility and usability for AMiCUS 2.0. Moreover, in an activity of daily living, a proof-of-concept is provided that an individual with progressed multiple sclerosis is able to operate the robotic arm in a temporal and functional scope, as would be necessary to perform direct control tasks for use in a commercial semi-autonomous system. The results indicate that AMiCUS 2.0 makes an important step towards closing the gaps of assistive technology, being accessible to those who rely on such technology the most.<\/jats:p>","DOI":"10.3390\/s20041194","type":"journal-article","created":{"date-parts":[[2020,2,21]],"date-time":"2020-02-21T10:49:16Z","timestamp":1582282156000},"page":"1194","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["AMiCUS 2.0\u2014System Presentation and Demonstration of Adaptability to Personal Needs by the Example of an Individual with Progressed Multiple Sclerosis"],"prefix":"10.3390","volume":"20","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5040-4714","authenticated-orcid":false,"given":"Nina","family":"Rudigkeit","sequence":"first","affiliation":[{"name":"Group of Sensors and Actuators, Department of Electrical Engineering and Applied Physics, Westphalian University of Applied Sciences, 45877 Gelsenkirchen, Germany"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7245-0401","authenticated-orcid":false,"given":"Marion","family":"Gebhard","sequence":"additional","affiliation":[{"name":"Group of Sensors and Actuators, Department of Electrical Engineering and Applied Physics, Westphalian University of Applied Sciences, 45877 Gelsenkirchen, Germany"}]}],"member":"1968","published-online":{"date-parts":[[2020,2,21]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"1502","DOI":"10.1016\/S0140-6736(08)61620-7","article-title":"Multiple Sclerosis","volume":"9648","author":"Compston","year":"2008","journal-title":"Lancet"},{"key":"ref_2","unstructured":"Multiple Sclerosis International Federation (2019, August 01). Atlas of MS\u2014Mapping Multiple Sclerosis Around the World. Available online: http:\/\/www.atlasofms.org."},{"key":"ref_3","unstructured":"(2019, August 01). National Multiple Sclerosis Society. Who Gets MS? (Epidemiology). Available online: https:\/\/www.nationalmssociety.org\/What-is-MS\/Who-Gets-MS."},{"key":"ref_4","unstructured":"MS-UK (2019, August 02). Choices Leaflet: MS Symptoms\u2014Multiple Sclerosis Information. Available online: https:\/\/www.ms-uk.org\/choicesmssymptoms."},{"key":"ref_5","unstructured":"(2019, August 01). National Multiple Sclerosis Society. 2019. Types of MS. Available online: https:\/\/www.nationalmssociety.org\/What-is-MS\/Types-of-MS."},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"148","DOI":"10.1109\/MRA.2013.2275695","article-title":"A Supportive Friend at Work: Robotic Workplace Assistance for the Disabled","volume":"20","author":"Heyer","year":"2013","journal-title":"IEEE Robot. Autom. Mag."},{"key":"ref_7","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1109\/TSMCA.2011.2159589","article-title":"How Autonomy Impacts Performance and Satisfaction: Results From a Study with Spinal Cord Injured Subjects Using an Assistive Robot","volume":"42","author":"Kim","year":"2011","journal-title":"IEEE Trans. Syst. Man, Cybern.-Part A: Syst. Humans"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"372","DOI":"10.1038\/nature11076","article-title":"Reach and Grasp by People with Tetraplegia using a Neurally Controlled Robotic Arm","volume":"485","author":"Hochberg","year":"2012","journal-title":"Nature"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Vogel, J., Haddadin, S., Simeral, J.D., Stavisky, S.D., Bacher, D., Hochberg, L.R., Donoghue, J.P., and Van Der Smagt, P. (2014). Continuous Control of the DLR Light-Weight Robot III by a Human with Tetraplegia using the BrainGate2 Neural Interface System. Experimental Robotics, Springer.","DOI":"10.1007\/978-3-642-28572-1_9"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1109\/TNSRE.2016.2609478","article-title":"A Novel EMG Interface for Individuals with Tetraplegia to Pilot Robot Hand Grasping","volume":"26","author":"Tigra","year":"2016","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Hagengruber, A., and Vogel, J. (2018, January 18\u201321). Functional Tasks Performed by People with Severe Muscular Atrophy Using an sEMG Controlled Robotic Manipulator. Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA.","DOI":"10.1109\/EMBC.2018.8512703"},{"key":"ref_12","unstructured":"Alsharif, S. (2018). Gaze-Based Control of Robot Arm in Three-Dimensional Space. [Ph.D. Thesis, University of Bremen]."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"110","DOI":"10.1186\/s12984-017-0330-2","article-title":"Wireless intraoral tongue control of an assistive robotic arm for individuals with tetraplegia","volume":"14","author":"Struijk","year":"2017","journal-title":"J. Neuroeng. Rehabil."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Raya, R., Rocon, E., Ceres, R., and Pajaro, M. (2012, January 23\u201324). A Mobile Robot Controlled by an Adaptive Inertial Interface for Children with Physical and Cognitive Disorders. Proceedings of the IEEE International Conference on Technologies for Practical Robot Applications (TePRA), Woburn, MA, USA.","DOI":"10.1109\/TePRA.2012.6215670"},{"key":"ref_15","first-page":"715","article-title":"Testing Inertial Sensor Performance as Hands-Free Human\u2013Computer Interface","volume":"8","author":"Music","year":"2009","journal-title":"WSEAS Trans. Comput."},{"key":"ref_16","doi-asserted-by":"crossref","unstructured":"Rudigkeit, N., and Gebhard, M. (2019). AMiCUS\u2014A Head Motion-Based Interface for Control of an Assistive Robot. Sensors, 19.","DOI":"10.3390\/s19122836"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"161","DOI":"10.1109\/TNSRE.2017.2765362","article-title":"Head Motion and Head Gesture-Based Robot Control: A Usability Study","volume":"26","author":"Jackowski","year":"2018","journal-title":"IEEE Trans. Neural Syst. Rehabil. Eng."},{"key":"ref_18","unstructured":"Nelles, J., Schmitz-Buhl, F., Spies, J., Kohns, S., Sonja, K.M., Br\u00f6hl, C., Brandl, C., Mertens, A., and Schlick, C.M. (2017, January 15\u201317). Altersdifferenzierte Evaluierung von Belastung und Beanspruchung bei der kopfbasierten Steuerung eines kooperierenden Roboters. Proceedings of the Fr\u00fchjahrskongress der Gesellschaft f\u00fcr Arbeitswissenschaft, Brugg-Windisch, Switzerland."},{"key":"ref_19","unstructured":"Van Someren, M.W., Barnard, Y.F., and Sandberg, J.A. (1994). The Think Aloud Method: A Practical Approach to Modelling Cognitive Processes, Academic Press."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"LoPresti, E., Brienza, D.M., Angelo, J., Gilbertson, L., and Sakai, J. (2000, January 13\u201315). Neck Range of Motion and Use of Computer Head Controls. Proceedings of the Fourth International ACM Conference on Assistive Technologies, Arlington, VA, USA.","DOI":"10.1145\/354324.354352"},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Rudigkeit, N., Gebhard, M., and Gr\u00e4ser, A. (2015, January 7\u20139). Evaluation of Control Modes for Head Motion-based Control with Motion Sensors. Proceedings of the IEEE International Symposium on Medical Measurements and Applications (MeMeA) Proceedings, Turin, Italy.","DOI":"10.1109\/MeMeA.2015.7145187"},{"key":"ref_22","first-page":"1","article-title":"Real-time Endoscopic Image Orientation Correction System Using an Accelerometer and Gyrosensor","volume":"12","author":"Lee","year":"2017","journal-title":"PLoS ONE"},{"key":"ref_23","doi-asserted-by":"crossref","first-page":"3049","DOI":"10.3390\/s120303049","article-title":"A Robust Kalman Algorithm to Facilitate Human\u2013Computer Interaction for People with Cerebral Palsy, Using a New Interface Based on Inertial Sensors","volume":"12","author":"Raya","year":"2012","journal-title":"Sensors"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1016\/S1364-6613(98)01262-5","article-title":"Mirror Neurons and the Simulation Theory of Mind-Reading","volume":"2","author":"Gallese","year":"1998","journal-title":"Trends Cogn. Sci."},{"key":"ref_25","doi-asserted-by":"crossref","unstructured":"McGugin, R.W., Gatenby, J.C., Gore, J.C., and Gauthier, I. (2012). High-Resolution Imaging of Expertise Reveals Reliable Object Selectivity in the Fusiform Face Area Related to Perceptual Performance. Proc. Natl. Acad. Sci. USA.","DOI":"10.1073\/pnas.1116333109"}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/4\/1194\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T08:59:52Z","timestamp":1760173192000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/20\/4\/1194"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,2,21]]},"references-count":25,"journal-issue":{"issue":"4","published-online":{"date-parts":[[2020,2]]}},"alternative-id":["s20041194"],"URL":"https:\/\/doi.org\/10.3390\/s20041194","relation":{},"ISSN":["1424-8220"],"issn-type":[{"type":"electronic","value":"1424-8220"}],"subject":[],"published":{"date-parts":[[2020,2,21]]}}}