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DOI: 10.14254/1795-6889.2025.21-1.9
Submitted: 2023-07-17
Published: 2025-05-28

Patent landscape analysis of human intelligence

Universitas Wijaya Kusuma Surabaya
Bina Nusantara University
Universitas Nahdlatul Ulama Sidoarjo
patent landscape analysis human intelligence technology

Abstract

Patent intellectual property in the field of human intelligence opens up greater opportunities to improve human life as a whole and has the potential to open enormous opportunities in various fields, such as technology, education, psychology, and health. This research was conducted to know the patent landscape and the main trends of intellectual property patents on the topic of human intelligence in all countries. Researchers applied a patent landscape analysis using data on a total of 5,470 patent intellectual property documents from the Lens database. The results of the study showed that there is a general trend of increasing the number of patents related to the field of human intelligence every year. There is an opportunity without paying royalties by using 821 patents discontinued. Intellectual property patents related to human intelligence are dominated by company ownership and inventors originating from the United States, with a total of 4,361 patents. Patents related to human intelligence are dominated by the physics (G) patent section. There are 2767 simple family patents on human intelligence in thirteen jurisdictions, and the highest is in the United States. In the future, we suggest conducting more research related to patent value analysis to evaluate patents. This study provides practical insights for various stakeholders. Businesses and entrepreneurs can leverage discontinued patents to innovate without having royalty fees, driving technological progress. Policymakers and researchers should create frameworks that protect intellectual property while also ensuring that society has access to innovation, allowing communities to get the value from patents.

 

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References

  1. Ahmed, Z., Mohamed, K., Zeeshan, S., & Dong, X. (2020). Artificial intelligence with multi-functional machine learning platform development for better healthcare and precision medicine. Database, 2020, baaa010. https://doi.org/10.1093/database/baaa010 DOI: https://doi.org/10.1093/database/baaa010
  2. Alexander, G., M, C. D., J, H. E., Mochael, C., Lili, C., & Kamal, J. (2012). Computer system and method for bulk auditing, archiving, and selling personal property of a customer. [Patent].
  3. Alkatheiri, M. S., Chauhdary, S. H., & Alqarni, M. A. (2021). Seamless security apprise method for improving the reliability of sustainable energy-based smart home applications. Sustainable Energy Technologies and Assessments, 45, 101219. https://doi.org/10.1016/j.seta.2021.101219 DOI: https://doi.org/10.1016/j.seta.2021.101219
  4. Alter, S. (2022). Understanding artificial intelligence in the context of usage: Contributions and smartness of algorithmic capabilities in work systems. International Journal of Information Management, 67, 102392. https://doi.org/10.1016/j.ijinfomgt.2021.102392 DOI: https://doi.org/10.1016/j.ijinfomgt.2021.102392
  5. Anyu, R. (1999). Balanced all nutrient breakfast. [Patent].
  6. Bearman, M., & Luckin, R. (2020). Preparing university assessment for a world with AI: Tasks for human intelligence. In The impact of artificial intelligence on learning, teaching, and education (pp. 49–63). Springer. https://doi.org/10.1007/978-3-030-41956-1_5 DOI: https://doi.org/10.1007/978-3-030-41956-1_5
  7. BidHan, P. (2020). System and method for home automation. [Patent].
  8. Bosubabu, S. (2021). Virtual brain cloning: Telepathic data communications with virtual reality holographic projections using artificial intelligence. [Patent].
  9. Brody, R. G., Gupta, G., & Salter, S. B. (2020). The influence of emotional intelligence on auditor performance. Journal of Accounting and Management Information Systems, 19(3). http://online-cig.ase.ro/jcig/art/19_3_5.pdf DOI: https://doi.org/10.24818/jamis.2020.03005
  10. Calvin, W., & Caleb, W. (2016). Filling forms with a smartphone. [Patent].
  11. Changbin, T., & Li, X. (2018). Method for virtualization of a brain-like computing system. [Patent].
  12. Changshan, B., & Changsong, B. (2018). Human response garden lamp based on novel lamp holder. [Patent].
  13. Chen, L., Chen, P., & Lin, Z. (2020). Artificial intelligence in education: A review. IEEE Access, 8, 75264–75278. https://doi.org/10.1109/ACCESS.2020.2988510 DOI: https://doi.org/10.1109/ACCESS.2020.2988510
  14. Chintalapati, S., & Pandey, S. K. (2022). Artificial intelligence in marketing: A systematic literature review. International Journal of Market Research, 64(1), 38–68. https://doi.org/10.1177/14707853211018428 DOI: https://doi.org/10.1177/14707853211018428
  15. Cision. (2021, March 24). Tencent receives technology excellence award for cloud services. Cision PR Newswire. https://en.prnasia.com/releases/apac/tencent-receives-technology-excellence-award-for-cloud-services-316544.shtml
  16. Cui, Z., Zhang, Y., & Ji, Q. (2020). Label error correction and generation through label relationships. Proceedings of the AAAI Conference on Artificial Intelligence, 34(4), 3693–3700. https://doi.org/10.1609/aaai.v34i04.5778 DOI: https://doi.org/10.1609/aaai.v34i04.5778
  17. Dai, T., Qian, X., Jialin, L., Lei, G., Zheng, L., Dachun, L., Xiaolei, P., & Lun, Z. (2020). Implementation system and method for internet of things based on artificial intelligence. [Patent].
  18. Daming, L., & Hao, T. (2021). Method and apparatus for determining (RAW) video materials for news. [Patent].
  19. Damioli, G., Van Roy, V., & Vertesy, D. (2021). The impact of artificial intelligence on labor productivity. Eurasian Business Review, 11(1), 1–25. https://doi.org/10.1007/s40821-020-00172-8 DOI: https://doi.org/10.1007/s40821-020-00172-8
  20. Dana, C. (2020). The role of emotional education in shaping and developing students’ personality from the perspective of aligning perceptual positions. Analele Universităţii Ovidius din Constanţa. Seria Filologie 31(1), 135–143.
  21. Dean, S. (2011). System and methods for human intelligence personal assistance. [Patent].
  22. Dhamija, P., & Bag, S. (2020). Role of artificial intelligence in operations environment: A review and bibliometric analysis. The TQM Journal, 32(4), 869–896. https://doi.org/10.1108/TQM-10-2019-0243 DOI: https://doi.org/10.1108/TQM-10-2019-0243
  23. Dizaji, A., Hebling Vieira, B., Khodaei, M. R., Ashrafi, M., Parham, E., Hossein-Zadeh, G. A., Salmon, C. E. G., & Soltanian Zadeh, H. (2021). Linking brain biology to intellectual endowment: A review on the associations of human intelligence with neuroimaging data. Basic and Clinical Neuroscience Journal, 12(1), 1–28. http://bcn.iums.ac.ir/article-1-1766-en.html DOI: https://doi.org/10.32598/bcn.12.1.574.1
  24. Enyi, C. (2012). Human intelligence developing teaching aid with integrated education and game function. [Patent].
  25. European Patent Office (EPO). (2017). Cooperative Patent Classification (CPC). https://www.epo.org/searching-for-patents/helpful-resources/first-time-here/classification/cpc.html
  26. Erik, V., & Peter, T. J. (2018). Human-artificial intelligence hybrid system. [Patent].
  27. Bryndin, E. (2020). Formation of technological cognitive reason with artificial intelligence in virtual space. Britain International of Exact Sciences (BIoEx) Journal, 2(2), 450–461. http://biarjournal.com/index.php/bioex/article/view/222 DOI: https://doi.org/10.33258/bioex.v2i2.222
  28. Feng, K., Li, W., Ge, S., & Pan, F. (2020). Packages delivery based on marker detection for UAVs. In 2020 Chinese Control and Decision Conference (CCDC) (pp. 2094–2099). IEEE. https://doi.org/10.1109/CCDC49329.2020.9164677 DOI: https://doi.org/10.1109/CCDC49329.2020.9164677
  29. Gabriela, K., Gavin, S. S., & Natasa, M.-F. (2015). Global currency of credibility for crowdsourcing. [Patent].
  30. Gassmann, O., Bader, M. A., & Thompson, M. J. (2021). Patent management. Springer International Publishing. https://doi.org/10.1007/978-3-030-59009-3 DOI: https://doi.org/10.1007/978-3-030-59009-3
  31. Glikson, E., & Woolley, A. W. (2020). Human trust in artificial intelligence: Review of empirical research. Academy of Management Annals, 14(2), 627–660. https://doi.org/10.5465/annals.2018.0057 DOI: https://doi.org/10.5465/annals.2018.0057
  32. Hagen, F. (2019). Machine intelligence system for machine translation quality evaluation by identifying matching propositions in source and translated text strings. [Patent].
  33. Halpin, H. (2022). The co-evolution of the extended mind and the Internet. In Proceedings of the 2021 Summit of the International Society for the Study of Information (Vol. 81, p. 148). MDPI. https://doi.org/10.3390/proceedings2021081148 DOI: https://doi.org/10.3390/proceedings2022081148
  34. Hassabis, D., Kumaran, D., Summerfield, C., & Botvinick, M. (2017). Neuroscience-inspired artificial intelligence. Neuron, 95(2), 245–258. https://doi.org/10.1016/j.neuron.2017.06.011 DOI: https://doi.org/10.1016/j.neuron.2017.06.011
  35. Hiremani, V. A., & Senapati, K. K. (2019). Analysis of human intelligence in identifying persons native through the features of facial image. In 2019 1st International Conference on Advances in Information Technology (ICAIT) (pp. 87–93). IEEE. https://doi.org/10.1109/ICAIT47043.2019.8987298 DOI: https://doi.org/10.1109/ICAIT47043.2019.8987298
  36. Hongyue, L. (2007). Intelligent home security system. [Patent].
  37. Huai-Hsin, C. E., Peng, D., Praveen, P., & Jeff, R. (2017). Managing a workflow of human intelligence tasks based on task performance. [Patent].
  38. Huayun, W. (2018). Wipe wall telephone ware human intelligence control system. [Patent].
  39. Hunt, J. M. (2020). Human intelligence (1st ed.). New York. DOI: https://doi.org/10.1201/9780429337680-1
  40. Hyun, C. J. (2001). Tactile sensation nursing bottle. [Patent].
  41. Jamil, S. (2021). Artificial intelligence and journalistic practice: The crossroads of obstacles and opportunities for the Pakistani journalists. Journalism Practice, 15(10), 1400–1422. https://doi.org/10.1080/17512786.2020.1788412 DOI: https://doi.org/10.1080/17512786.2020.1788412
  42. Jason, W., Tirso, A., B, H. B., & Dan, M. I. (2017). System and method for crowd-sourced data labeling. [Patent].
  43. Jin, P. K. (2001). Human-resembled clock capable of bilateral conversations through telecommunication, data supplying system for IT, and internet business method for IT. [Patent].
  44. John, Z. J. S., & Jonathan, W. (2013). Taxonomy based targeted search advertising. [Patent].
  45. Joseph, R., Riccardo, C., & Alessandra, V. (2021). Display panel with news headlines graphical user interface. [Patent].
  46. K, D. V., H, A. F., & S, R. M. (2002). Internet information retrieval method and apparatus. [Patent].
  47. Kedziora, D. (2022). Botsourcing, roboshoring or virtual backoffice? Perspectives on implementing robotic process automation (RPA) and artificial intelligence (AI). Human Technology, 18(2), 92–97. https://doi.org/10.14254/1795-6889.2022.18-2.1 DOI: https://doi.org/10.14254/1795-6889.2022.18-2.1
  48. Kedziora, D., & Kiviranta, H. M. (2018). Digital business value creation with robotic process automation (RPA) in Northern and Central Europe. Management, 13, 161–174. https://doi.org/10.26493/1854-4231.13.161-174 DOI: https://doi.org/10.26493/1854-4231.13.161-174
  49. Kikerpill, K. (2021). Human-machine communication: Rethinking communication, technology, and ourselves [Book review]. Journal of Communication Technology, 4(3). https://joctec.org/archives/volume-4-issue-3/kikerpill2021/ DOI: https://doi.org/10.51548/joctec-2021-020
  50. L, K. G. (2003). Process for forecasting product demand. [Patent].
  51. Lei, X. (1991). Multifunction wrist watch. [Patent].
  52. Lens. (2023). Human intelligence. https://www.lens.org/lens/search/patent/list?q=%22human%20intelligence%22&p=0&n=10&s=_score&d=%2B&f=false&e=false&l=en&authorField=author&dateFilterField=publishedDate&orderBy=%2B_score&presentation=false&preview=true&stemmed=true&useAuthorId=false&publishe
  53. Leusin, M. E., Günther, J., Jindra, B., & Moehrle, M. G. (2020). Patenting patterns in artificial intelligence: Identifying national and international breeding grounds. World Patent Information, 62, 101988. https://doi.org/10.1016/j.wpi.2020.101988 DOI: https://doi.org/10.1016/j.wpi.2020.101988
  54. Lin, H., Fu, Y., & Zhou, X. (2022). Design and implementation of a desk lamp based on intelligence and health. In 2022 IEEE 11th International Conference on Communication Systems and Network Technologies (CSNT) (pp. 113–118). IEEE. https://doi.org/10.1109/CSNT54632.2022.9787669 DOI: https://doi.org/10.1109/CSNT54456.2022.9787669
  55. Litvinova, O., Klager, E., Tzvetkov, N. T., Kimberger, O., Kletecka-Pulker, M., Willschke, H., & Atanasov, A. G. (2022). Digital pills with ingestible sensors: Patent landscape analysis. Pharmaceuticals, 15(8), 1–19. https://doi.org/10.3390/ph15081000 DOI: https://doi.org/10.3390/ph15081025
  56. Liu, J., Chang, W., Li, J., & Wang, J. (2020). Design and implementation of human-computer interaction intelligent system based on speech control. Computer-Aided Design and Applications, 17(S2), 22–34. http://cad-journal.net/files/vol_17/Vol17NoS2.html DOI: https://doi.org/10.14733/cadaps.2020.S2.22-34
  57. M, M. J., Gregory, L. K., & Eric, K. J. (2011). System and methods for detecting and investigating insider fraud. [Patent].
  58. Mahendran, M. J. M., & Velmurugan, D. A. V. (2020). An overview of information retrieval skill among professional students. IDC International Journal, 7(4), 47–52. https://idcinternationaljournal.com/oct-2020/Article_10_IDC_August_October_2020_Mr_J_Mahendran_&_Dr_A_Velmurugan_full.pdf DOI: https://doi.org/10.47211/idcij.2020.v07i04.010
  59. Marson, M., & McAllister, J. (2021). The human connection to an intelligent building. Intelligent Buildings International, 13(3), 162–175. https://doi.org/10.1080/17508975.2021.1872480 DOI: https://doi.org/10.1080/17508975.2021.1872480
  60. Modgil, S., Singh, R. K., & Hannibal, C. (2022). Artificial intelligence for supply chain resilience: Learning from Covid-19. The International Journal of Logistics Management, 33(4), 1246–1268. https://doi.org/10.1108/IJLM-02-2021-0094 DOI: https://doi.org/10.1108/IJLM-02-2021-0094
  61. Morana, S., Pfeiffer, J., & Adam, M. T. P. (2020). User assistance for intelligent systems. Business & Information Systems Engineering, 62(3), 189–192. https://doi.org/10.1007/s12599-020-00640-5 DOI: https://doi.org/10.1007/s12599-020-00640-5
  62. Mou, C., Zengliang, H., Ronggang, Z., Tongle, Z., Qingxian, W., Zhiqiang, N., & Jianliang, H. (2021). Multi-unmanned aerial vehicle cooperative task planning method based on hybrid enhanced intelligence. [Patent].
  63. Moussawi, S., Koufaris, M., & Benbunan-Fich, R. (2021). How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents. Electronic Markets, 31(2), 343–364. https://doi.org/10.1007/s12525-020-00411-w DOI: https://doi.org/10.1007/s12525-020-00411-w
  64. N, A. E. I. (2003). Method for detecting quality of information processing by human brain. [Patent].
  65. Nguyen, T. V., Zhou, L., Chong, A. Y. L., Li, B., & Pu, X. (2020). Predicting customer demand for remanufactured products: A data-mining approach. European Journal of Operational Research, 281(3), 543–558. https://doi.org/10.1016/j.ejor.2019.09.030 DOI: https://doi.org/10.1016/j.ejor.2019.08.015
  66. Ole-Petter, S., Dee, D. C., Robert, S. J., Russell, R. J. R., Luke, G. W., & Xiaoxun, Z. (2010). Method of and apparatus for shipping, tracking, and delivering a shipment of packages employing the capture of shipping document images and recognition-processing thereof initiated from the point of pickup and completed while shipment is being transported. [Patent].
  67. Ole-Petter, S., Dee, D. C., Robert, S. J., Russell, R. R., Luke, G. W., & Xiaoxun, Z. (2008a). Internet-based shipping, tracking, and delivery network supporting a plurality of mobile digital image capture and processing (MICAP) systems. [Patent].
  68. Ole-Petter, S., Dee, D. C., Robert, S. J., Russell, R. R., Luke, G. W., & Xiaoxun, Z. (2008b). Internet-based shipping, tracking and delivery network and system components supporting the capture of shipping document images and recognition-processing thereof initiated from the point of pickup and completed while shipment is being transported to its. [Patent].
  69. Pala, Z., & Özkan, O. (2020). Artificial intelligence helps protect smart homes against thieves. DÜMF Mühendislik Dergisi. https://doi.org/10.24012/dumf.700311 DOI: https://doi.org/10.24012/dumf.700311
  70. Paz-Baruch, N. (2020). Educational and learning capital as predictors of general intelligence and scholastic achievements. High Ability Studies, 31(1), 75–91. https://doi.org/10.1080/13598139.2019.1586656 DOI: https://doi.org/10.1080/13598139.2019.1586656
  71. Pfeifer, R., & Scheier, C. (2020). Understanding intelligence. MIT Press. https://doi.org/10.7551/mitpress/2319.001.0001 DOI: https://doi.org/10.7551/mitpress/2319.001.0001
  72. Qian, S., & Feng, Q. (2020). Research on the integration of artificial intelligence and education. Journal of Physics: Conference Series, 1570(1), 012063. https://doi.org/10.1088/1742-6596/1570/1/012063 DOI: https://doi.org/10.1088/1742-6596/1570/1/012063
  73. Qiang, C., & Sheng, Q. (2020). Method and apparatus for converting English speech information into text. [Patent].
  74. R, R. R. J., Rajesh, P., Steven, S., & Yunling, W. (2015). Streamlined creation and utilization of reference human intelligence tasks. [Patent].
  75. Ram, J. A. (2001). Assembly educational tools for kids. [Patent].
  76. Regens, J. L. (2019). Augmenting human cognition to enhance strategic, operational, and tactical intelligence. Intelligence and National Security, 34(5), 673–687. https://doi.org/10.1080/02684527.2019.1579410 DOI: https://doi.org/10.1080/02684527.2019.1579410
  77. Ren, Y. (2020). Development evaluation system of psychological vocational education based on artificial intelligence. Journal of Physics: Conference Series, 1574(1), 012129. https://doi.org/10.1088/1742-6596/1574/1/012129 DOI: https://doi.org/10.1088/1742-6596/1574/1/012129
  78. Ronquillo, C. E., Peltonen, L., Pruinelli, L., Chu, C. H., Bakken, S., Beduschi, A., Cato, K., et al. (2021). Artificial intelligence in nursing: Priorities and opportunities from an international invitational think‐tank of the Nursing and Artificial Intelligence Leadership Collaborative. Journal of Advanced Nursing, 77(9), 3707–3717. https://doi.org/10.1111/jan.14855 DOI: https://doi.org/10.1111/jan.14855
  79. Ryanghee, S. (2022). Recliner having healthcare function. [Patent].
  80. Sadiku, M. N. O., Ashaolu, T. J., & Musa, S. M. (2020). Essence of human intelligence. International Journal of Scientific Advances, 1(1). https://www.ijscia.com/?p=789 DOI: https://doi.org/10.51542/ijscia.v1i1.7
  81. Santos, S. E. de F., Jorge, E. M. de F., & Winkler, I. (2021). Inteligência artificial e virtualização em ambientes virtuais de ensino e aprendizagem. ETD - Educação Temática Digital, 23(1), 2–19. https://doi.org/10.20396/etd.v23i1.8656150 DOI: https://doi.org/10.20396/etd.v23i1.8656150
  82. Saravana Kumar, N. M. (2019). Implementation of artificial intelligence in imparting education and evaluating student. Journal of Artificial Intelligence and Capsule Networks, 1(1), 1–9. DOI: https://doi.org/10.36548/jaicn.2019.1.001
  83. Schwaiger, E., & Tahir, R. (2022). The impact of nomophobia and smartphone presence on fluid intelligence and attention. Cyberpsychology: Journal of Psychosocial Research on Cyberspace, 16(1). https://doi.org/10.5817/CP2022-1-2 DOI: https://doi.org/10.5817/CP2022-1-5
  84. Shady, S., Chahid, O., & Fakhri, K. (2018). System and methods for automated interactive learning. [Patent].
  85. Shneiderman, B. (2020). Human-centered artificial intelligence: Reliable, safe & trustworthy. International Journal of Human–Computer Interaction, 36(6), 495–504. https://doi.org/10.1080/10447318.2020.1741118 DOI: https://doi.org/10.1080/10447318.2020.1741118
  86. Song, X. (2021). Intelligent English translation system based on evolutionary multi-objective optimization algorithm. In S. C. Satapathy, R. Agrawal, & V. García Díaz (Eds.), Journal of Intelligent & Fuzzy Systems, 40(4), 6327–6337. https://doi.org/10.3233/JIFS-189469 DOI: https://doi.org/10.3233/JIFS-189469
  87. Steve, M. (1999). System for electronic newsgathering, documentary video, and photojournalism. [Patent].
  88. Tardy, A.-L., Pouteau, E., Marquez, D., Yilmaz, C., & Scholey, A. (2020). Vitamins and minerals for energy, fatigue and cognition: A narrative review of the biochemical and clinical evidence. Nutrients, 12(1), 228. https://doi.org/10.3390/nu12010228 DOI: https://doi.org/10.3390/nu12010228
  89. Teregulov, F. S. (2022). Human intelligence and consciousness. Siberian Pedagogical Journal, 2, 130–140. http://en.sp-journal.ru/article/9274 DOI: https://doi.org/10.15293/1813-4718.2202.12
  90. Timothy, C. G. M. (2009). Detecting objects of interest in the frames of a video sequence by a distributed human workforce employing a hybrid human/computing arrangement. [Patent].
  91. Túñez-López, J.-M., Fieiras-Ceide, C., & Vaz-Álvarez, M. (2021). Impact of artificial intelligence on journalism: Transformations in the company, products, contents and professional profile. Communication & Society, 34(1), 177–193. https://doi.org/10.15581/003.34.1.177-193 DOI: https://doi.org/10.15581/003.34.1.177-193
  92. United States Patent and Trademark Office (USPTO). (2022). What is a patent? https://www.uspto.gov/learning-and-resources/ip-policy/what-patent
  93. Vahid, S., & Azadeh, N. D. M. (2021). Smart assistant legal system. [Patent].
  94. Vialykh, E. A., McKay, G., & Rosario-Ortiz, F. L. (2020). Computational assessment of the three-dimensional configuration of dissolved organic matter chromophores and influence on absorption spectra. Environmental Science & Technology, 54(24), 15904–15913. https://doi.org/10.1021/acs.est.0c05860 DOI: https://doi.org/10.1021/acs.est.0c05860
  95. Vigo, R., Zeigler, D. E., & Wimsatt, J. (2022). Uncharted aspects of human intelligence in knowledge-based “intelligent” systems. Philosophies, 7(3), 46. https://doi.org/10.3390/philosophies7030046 DOI: https://doi.org/10.3390/philosophies7030046
  96. Wang, Z., Shi, Z., & Zhang, M. (2021). Analysis of key technology of computer artificial intelligence recognition. Journal of Physics: Conference Series, 1865(4), 042075. https://doi.org/10.1088/1742-6596/1865/4/042075 DOI: https://doi.org/10.1088/1742-6596/1865/4/042075
  97. World Intellectual Property Organization (WIPO). (2021). Patent landscape reports. https://www.wipo.int/patentscope/en/programs/patent_landscapes/reports.html
  98. Wu, D., Bao, R., Li, Z., Wang, H., Zhang, H., & Wang, R. (2021). Edge-cloud collaboration enabled video service enhancement: A hybrid human-artificial intelligence scheme. IEEE Transactions on Multimedia, 23, 2208–2221. https://doi.org/10.1109/TMM.2021.3071437 DOI: https://doi.org/10.1109/TMM.2021.3066050
  99. Yang, Y., & Yue, Y. (2020). English speech sound improvement system based on deep learning from signal processing to semantic recognition. International Journal of Speech Technology, 23(3), 505–515. https://doi.org/10.1007/s10772-020-09733-8 DOI: https://doi.org/10.1007/s10772-020-09733-8
  100. Yehuda, K., Ernesto, K., & Liora, W. (2020). Computerized system and method for evaluating a psychological state based on voice analysis. [Patent].
  101. Yehuda, K., Sholomo, K. E., & Liora, W. (2022). Computerized system and method for evaluating a psychological state based on voice analysis. [Patent].
  102. Ying, H., & Jianru, Z. (2002). Direct-viewing meter of human intelligence, emotion and physical power conditions on the same day. [Patent].
  103. Yu, L. (2021). Research on intelligent translation strategy based on human machine coupling. International Journal of Frontiers in Sociology, 3(2). https://francis-press.com/papers/3609 DOI: https://doi.org/10.25236/IJFS.2021.030217
  104. Zhang, F. (2019). EMNC technological knowledge flow patterns: An overview of the US patents granted. Multinational Business Review, 28(1), 129–155. https://doi.org/10.1108/MBR-03-2019-0021 DOI: https://doi.org/10.1108/MBR-03-2019-0021
  105. Zhang, H., & Cheng, S. (2022). Application of internet of things technology based on artificial intelligence in electronic information engineering. In S.-B. Tsai (Ed.), Mobile Information Systems, 2022, 1–11. https://doi.org/10.1155/2022/2888925 DOI: https://doi.org/10.1155/2022/2888925
  106. Zhang, Y., Shen, J., Shang, J., & Han, J. (2020). Empower entity set expansion via language model probing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (pp. 8151–8160). Association for Computational Linguistics. https://www.aclweb.org/anthology/2020.acl-main.725 DOI: https://doi.org/10.18653/v1/2020.acl-main.725
  107. Zhao, S. (2012). Containerized type house. [Patent].
  108. Zhiwen, Y., Xin, Z., Jiaqi, L., Hui, W., Liang, W., Bin, G., Yixuan, C., & Yanfei, W. (2022). Fast and efficient human-machine collaboration program translation method. [Patent].
  109. Zhiwen, Y., Yixuan, C., Jiaqi, L., Liang, W., Bin, G., Yanfei, W., & Xin, Z. (2022). Medical diagnosis method and system based on man machine cooperation. [Patent].
  110. Zhou, J., Miao, X., He, F., & Miao, Y. (2022). Effects of font style and font color in news text on user cognitive load in intelligent user interfaces. IEEE Access, 10, 10719–10730. https://doi.org/10.1109/ACCESS.2022.3146179 DOI: https://doi.org/10.1109/ACCESS.2022.3151915

How to Cite

Fatkul, A., Purnomo , A., & Afia, N. (2025). Patent landscape analysis of human intelligence. Human Technology, 21(1), 176–202. https://doi.org/10.14254/1795-6889.2025.21-1.9