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Paper

  • Pathophysiological Voice Analysis for Diagnosis and Monitoring of Depression. Tokuno, S. Understanding Depression (pp. 83-95). Springer, Singapore. (2018).
  • Case Studies of Utilization of the Mind Monitoring System (MIMOSYS) Using Voice and Its Future Prospects. Shinohara S, Omiya Y, Hagiwara N, Nakamura M, Higuchi M, Kirita T, Takano T, Mitsuyoshi S, Tokuno S. ESMSJ (Econophysics, Sociophysics & other Multidisciplinary Sciences Journal) 7 (1) 2017; 7-12
  • Measurement of Stress Level to Prevent Post-Traumatic Stress Disorder Developed by Identifying Dead Bodies. Higuchi M, Yamamoto I, Omiya Y, Shinohara S, Nakamura M, Hagiwara H, Takano T, Mitsuyoshi S, Tokuno S. ESMSJ (Econophysics, Sociophysics & other Multidisciplinary Sciences Journal) 7 (1) 2017; 13-18
  • Difference in Voice Analysis Result by Pre and Post Processing of Telephone Line. Hagiwara N, Omiya Y, Shinohara S, Nakamura M, Higuchi M., Mitsuyoshi S, Tokuno S; International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC'2017) (Jeju Island, Korea) ,2017.7.11-15.
  • Multilingual evaluation of voice disability index using pitch rate. Shinohara S, Omiya Y, Nakamura M, Hagiwara N, Higuchi M, Mitsuyoshi S, Tokuno S. Advances in Science Technology and Engineering Systems Journal Vol. 2, No. 3, 765 – 772, (2017)
  • Validity of Mind Monitoring System as a Mental Health Indicator using Voice. Hagiwara N, Omiya Y, Shinohara S, Nakamura M, Higuchi M, Mitsuyoshi S, Yasunaga H, Tokuno S. Advances in Science, Technology and Engineering Systems Journal, vol. 2, no. 3, pp. 338-344 (2017).
  • Mental status assessment of disaster relief personnel by vocal affect display based on voice emotion recognition. Mitsuyoshi S, Nakamura M, Omiya Y, Shinohara S, Hagiwara N, Tokuno S. (2017). Disaster and Military Medicine, 3(1), 4.
  • Study on Depression Evaluation Indicator in the Elderly using Sensibility Technology. Higuchi, M., Shinohara, S., Nakamura, M., Omiya, Y., Hagiwara, N., Mitsuyoshi, S. and Tokuno, S. 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health: 70-77, 2017
  • Voice disability index using pitch rate. Shinohara S, Nakamura M, Mitsuyoshi S, Tokuno S, Omiya Y, Hagiwara N. (2016). Biomedical Engineering and Sciences (IECBES), 2016 IEEE EMBS Conference on. IEEE, 2016. p. 557-560.
  • Validity of the Mind Monitoring System as a Mental Health Indicator, Hagiwara N, Omiya Y, Shinohara S, Nakamura M, Yasunaga H, Mitsuyoshi S, Tokuno S. 16th International Conference on BioInformatics and BioEngineering (IEEE BIBE2016), 2016. 262-265.
  • Correlation between self-administered psychological test and emotion measured by voice analysis, Nakamura M, Shinohara S, Omiya Y, Mitsuyoshi S, Takagi H, Ushiwatari A, Tokuno S, International Conference on Information Science and Management Engineering1 (ICISME2015), 2015. 290-294
  • Validity of a voice-based evaluation method for effectiveness of behavioural therapy, Shinohara S, Mitsuyoshi S, Nakamura M, Omiya Y, Tsumatori G, Tokuno S, Pervasive Computing Paradigms for Mental Health. Springer International Publishing, 2015. 43-51.
  • Stress Evaluation by Voice: From Prevention to Treatment in Mental Health Care, Tokuno S, ESMSJ (Econophysics, Sociophysics & other Multidisciplinary Sciences Journal) 5 (1) 2015; 30-35
  • S Mitsuyoshi.2015, Development of Verbal Analysis Pathophysiology,ESMSJ (Econophysics, Sociophysics & other Multidisciplinary Sciences Journal),5(1): pp 11- pp 16.
  • Chiemi Kawanishi, Kyoko Osaka, Tetsuya Tanioka, Rozzano C Locsin, Toshiko Tada, Shuichi Ueno, Fuji Ren, Kazuyuki Matumoto and Shunji Mituyoshi. 2007. Establishing methods and analytical examples for empathic understanding as technological competency in nursing. INFORMATION International Informatin Institute, 10 (2): pp 253-pp 262.
  • Shunji Mitsuyoshi, Fuji Ren, Yasuto Tanaka and Shingo Kuroiwa. 2006. Non-verbal voice emotion analysis system. International journal of innovative computing, Information and control, 12 (4): pp 819- pp 830, 8.
  • Koichi Shibasaki, Shunji Mitsuyoshi. 2005. Evaluation of emotion recognition from intonation evaluation of sensibility technology and human emotion recognition. IEICE technical report, 105 (291), pp 45- pp 50.
  • Fuji Ren, Shunji Mitsuyoshi, Kang Yen, Chengqing Zong and Hongbing Zhu. 2003. An estimate method of the minimum entropy of natural languages. CIC Journal computational linguistics and intelligent text processing, In Alexander Gelbukh(Ed), Springer: pp 382- pp 392.
  • Fuji Ren, Shunji Mitsuyoshi. 2003. To understand and create the emotion and sensitivity. International journal of information, 6 (5): pp 547- pp 556.

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