{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,30]],"date-time":"2026-07-30T12:28:02Z","timestamp":1785414482276,"version":"3.56.0"},"reference-count":25,"publisher":"MDPI AG","issue":"8","license":[{"start":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T00:00:00Z","timestamp":1775779200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100003051","name":"NEDO","doi-asserted-by":"crossref","award":["21502121-0"],"award-info":[{"award-number":["21502121-0"]}],"id":[{"id":"10.13039\/501100003051","id-type":"DOI","asserted-by":"crossref"}]},{"award":["21502121-0"],"award-info":[{"award-number":["21502121-0"]}],"id":[{"id":"https:\/\/ror.org\/0055k7a87","id-type":"ROR","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004405","name":"Toyota Motor Corporation","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100004405","id-type":"DOI","asserted-by":"crossref"}]},{"id":[{"id":"https:\/\/ror.org\/0076knn86","id-type":"ROR","asserted-by":"publisher"}]},{"name":"JKA"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Many hands-on tasks remain difficult to fully automate because they require human dexterity and flexible object handling. Data gloves offer a promising interface for sensing hand\u2013object interactions, but most prior systems focus on gesture recognition or object classification rather than closed-loop, step-by-step task guidance. In this work, we develop and evaluate a tactile-sensing operation support system using an e-textile data glove with 88 pressure sensors, a tactile pressure sheet for placement verification, and a GUI that provides step-by-step instructions. As a core component, a CNN classifies the grasped state as bare hand or one of four discs with 93.3% accuracy using 16,175 training samples collected from five participants. In a user study on the Tower of Hanoi task as a controlled proxy for multi-step manipulation, the system reduced mean solving time by 51.5% (from 242.6 s to 117.8 s), reduced the number of disc movements (35.4 to 15, about 20 fewer moves on average), and lowered perceived workload (NASA-TLX) by 53.1% (from 68.5 to 32.1), while achieving a SUS score of 75. These results demonstrate the feasibility of tactile-based step verification and guidance in a controlled multi-step task; broader generalization requires evaluation with larger and more diverse participant groups and tasks.<\/jats:p>","DOI":"10.3390\/s26082341","type":"journal-article","created":{"date-parts":[[2026,4,10]],"date-time":"2026-04-10T09:08:12Z","timestamp":1775812092000},"page":"2341","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Development and Evaluation of a Data Glove-Based System for Assisting Puzzle Solving"],"prefix":"10.3390","volume":"26","author":[{"given":"Shashank Srikanth","family":"Bharadwaj","sequence":"first","affiliation":[{"name":"The Graduate School of Computer Science and Engineering, The University of Aizu, Fukushima 965-8580, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kazuma","family":"Sato","sequence":"additional","affiliation":[{"name":"The Graduate School of Computer Science and Engineering, The University of Aizu, Fukushima 965-8580, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1181-2536","authenticated-orcid":false,"given":"Lei","family":"Jing","sequence":"additional","affiliation":[{"name":"The Graduate School of Computer Science and Engineering, The University of Aizu, Fukushima 965-8580, Japan"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2026,4,10]]},"reference":[{"key":"ref_1","first-page":"42","article-title":"Digital Transformation 4.0: Integration of Artificial Intelligence and Metaverse in Marketing","volume":"12","author":"Rathore","year":"2023","journal-title":"Eduzone Int. Peer Rev. Multidiscip. J."},{"key":"ref_2","first-page":"28","article-title":"Smart Factory for Industry 4.0: A Review","volume":"7","year":"2015","journal-title":"Int. J. Mod. Manuf. Technol."},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"113816","DOI":"10.1016\/j.eswa.2020.113816","article-title":"Self-Driving Cars: A Survey","volume":"165","author":"Badue","year":"2021","journal-title":"Expert Syst. Appl."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"5735","DOI":"10.1109\/TII.2019.2955540","article-title":"Understanding and Learning Discriminant Features Based on Multi-Attention 1D-CNN for Wheelset Bearing Fault Diagnosis","volume":"16","author":"Wang","year":"2019","journal-title":"IEEE Trans. Ind. Inform."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Chalapathy, R., and Chawla, S. (2019). Deep Learning for Anomaly Detection: A Survey. arXiv.","DOI":"10.1145\/3394486.3406704"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.sna.2009.12.031","article-title":"Capacitive Tactile Sensor Array for Touch Screen Application","volume":"165","author":"Kim","year":"2011","journal-title":"Sens. Actuators A Phys."},{"key":"ref_7","doi-asserted-by":"crossref","unstructured":"Luo, Y., Li, Y., Foshey, M., Shou, W., Sharma, P., Palacios, T., Torralba, A., and Matusik, W. (2021, January 20\u201325). Intelligent Carpet: Inferring 3D Human Pose from Tactile Signals. Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, Nashville, TN, USA.","DOI":"10.1109\/CVPR46437.2021.01110"},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"698","DOI":"10.1038\/s41586-019-1234-z","article-title":"Learning the Signatures of the Human Grasp Using a Scalable Tactile Glove","volume":"569","author":"Sundaram","year":"2019","journal-title":"Nature"},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Liu, H., Xie, X., Millar, M., Edmonds, M., Gao, F., Zhu, Y., Santos, V.J., Rothrock, B., and Zhu, S.-C. (2017, January 24\u201328). A Glove-Based System for Studying Hand-Object Manipulation via Joint Pose and Force Sensing. Proceedings of the 2017 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Vancouver, BC, Canada.","DOI":"10.1109\/IROS.2017.8206575"},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Zhang, Q., Li, Y., Luo, Y., Shou, W., Foshey, M., Yan, J., Tenenbaum, J.B., Matusik, W., and Torralba, A. (October, January 27). Dynamic Modeling of Hand-Object Interactions via Tactile Sensing. Proceedings of the 2021 IEEE\/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague, Czech Republic.","DOI":"10.1109\/IROS51168.2021.9636361"},{"key":"ref_11","doi-asserted-by":"crossref","unstructured":"Pohtongkam, S., and Srinonchat, J. (2022, January 9\u201311). Object Recognition Using Glove Tactile Sensor. Proceedings of the 2022 International Electrical Engineering Congress (iEECON), Khon Kaen, Thailand.","DOI":"10.1109\/iEECON53204.2022.9741672"},{"key":"ref_12","doi-asserted-by":"crossref","unstructured":"Makaussov, O., Krassavin, M., Zhabinets, M., and Fazli, S. (2020, January 11\u201314). A Low-Cost, IMU-Based Real-Time On Device Gesture Recognition Glove. Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Toronto, ON, Canada.","DOI":"10.1109\/SMC42975.2020.9283231"},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"106","DOI":"10.1038\/s42256-023-00780-9","article-title":"Capturing Complex Hand Movements and Object Interactions Using Machine Learning-Powered Stretchable Smart Textile Gloves","volume":"6","author":"Tashakori","year":"2024","journal-title":"Nat. Mach. Intell."},{"key":"ref_14","doi-asserted-by":"crossref","unstructured":"Mukhiddinov, M., and Cho, J. (2021). Smart Glass System Using Deep Learning for the Blind and Visually Impaired. Electronics, 10.","DOI":"10.3390\/electronics10222756"},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Silva, J., Coelho, P., Saraiva, L., Vaz, P., Martins, P., and L\u00f3pez-Rivero, A. (2024). Validating the Use of Smart Glasses in Industrial Quality Control: A Case Study. Appl. Sci., 14.","DOI":"10.3390\/app14051850"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"290","DOI":"10.1016\/j.procir.2021.01.089","article-title":"Operators Training Using Simulation and VR Technology","volume":"96","author":"Karagiannis","year":"2021","journal-title":"Procedia CIRP"},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"360","DOI":"10.1016\/j.bandc.2008.02.003","article-title":"Thinking Around the Corner: The Development of Planning Abilities","volume":"67","author":"Kaller","year":"2008","journal-title":"Brain Cogn."},{"key":"ref_18","first-page":"61","article-title":"Examining the Problem-Solving Skills of Schizophrenic Patients Using the Hanoi Tower Task","volume":"56","author":"Takagi","year":"2005","journal-title":"J. Yonago Med. Assoc."},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1186\/s40638-016-0051-1","article-title":"A Soft Stretchable Bending Sensor and Data Glove Applications","volume":"3","author":"Shen","year":"2016","journal-title":"Robot. Biomim."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"60","DOI":"10.1016\/j.procs.2015.12.276","article-title":"A New Data Glove Approach for Malaysian Sign Language Detection","volume":"76","author":"Shukor","year":"2015","journal-title":"Procedia Comput. Sci."},{"key":"ref_21","doi-asserted-by":"crossref","unstructured":"Henderson, J., Condell, J., Connolly, J., Kelly, D., and Curran, K. (2021). Review of Wearable Sensor-Based Health Monitoring Glove Devices for Rheumatoid Arthritis. Sensors, 21.","DOI":"10.3390\/s21051576"},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"193","DOI":"10.1038\/s41928-021-00558-0","article-title":"Learning Human\u2013Environment Interactions Using Conformal Tactile Textiles","volume":"4","author":"Luo","year":"2021","journal-title":"Nat. Electron."},{"key":"ref_23","unstructured":"Murphy, D., Zhu, J., Liang, P., Matusik, W., and Luo, Y. (2024). WireSens Toolkit: An Open-Source Platform Towards Accessible Wireless Tactile Sensing. arXiv."},{"key":"ref_24","unstructured":"Hart, S. (1988). Development of NASA-TLX (Task Load Index): Results of Empirical and Theoretical Research. Human Mental Workload, Elsevier."},{"key":"ref_25","unstructured":"Brooke, J. (1996). SUS: A Quick and Dirty Usability Scale. Usability Evaluation in Industry, Taylor & Francis."}],"container-title":["Sensors"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/1424-8220\/26\/8\/2341\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,12]],"date-time":"2026-04-12T04:14:33Z","timestamp":1775967273000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/1424-8220\/26\/8\/2341"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,10]]},"references-count":25,"journal-issue":{"issue":"8","published-online":{"date-parts":[[2026,4]]}},"alternative-id":["s26082341"],"URL":"https:\/\/doi.org\/10.3390\/s26082341","relation":{},"ISSN":["1424-8220"],"issn-type":[{"value":"1424-8220","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,4,10]]}}}