Paper
- How much of an impact did COVID-19 self-isolation measures have on mental health? (Asian Journal of Psychiatry. Dec 2020, Impact Factor:9.5)
- Performance Evaluation of a Voice-Based Depression Assessment System Considering the Number and Type of Input Utterances. (Sensors 2022, Impact Factor:3.9)
- Effectiveness of a Voice-Based Mental Health Evaluation System for Mobile Devices: Prospective Study. (JMIR Formative Research 2020, Impact Factor:2.2)
- Depressive Mood Assessment Method Based on Emotion Level Derived from Voice: Comparison of Voice Features of Individuals with Major Depressive Disorders and Healthy Controls. (International Journal of Environmental Research and Public Health 2021,
Impact Factor:- / 2021 Impact Factor:4.614)
- Difference in Speech Analysis Results by Coding, (Advances in Science, Technology and Engineering Systems 2018, Impact Factor:- )
- Accuracy Evaluation for Mental Health Indicator Based on Vocal Analysis in Noisy Environments. (Applied Science and Computer Science Publications 2018, Impact Factor:- )
- Case Studies of Utilization of the Mind Monitoring System (MIMOSYS)Using Voice and Its Future Prospects, (Econophysics, Sociophysics & Other Multidisciplinary Sciences Journal 2017, Impact Factor:- )
- Measurement of Stress Level to Prevent Post-Traumatic Stress Disorder Developed by Identifying Dead Bodies, (Econophysics, Sociophysics & Other Multidisciplinary Sciences Journal 2017, Impact Factor:- )
- Validity of Mind Monitoring System as a Mental Health Indicator using Voice, (Advances in Science, Technology and Engineering Systems 2017, Impact Factor:- )
- Mental status assessment of disaster relief personnel by vocal affect display based on voice emotion recognition. (Disaster and Military Medicine 2017, Impact Factor:- )
- 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.
- S. Mituyoshi, S. Tokuno, Y.Tanaka: Application to stress that uses voice emoion recognition technology ST. Japanese Society of Fatingue Science Journal, pp. 44-53. 6(2), 2011. (3269KB)
- M. Shuzou, T. Yamamoto, S. Shimura, F. Monma, S. Mituyoshi, I. Yamada: Construction of Natural Voice Database for Analysis of Emotion and Feeling. IPSJ Journal, pp. 1185-1194. 53(3), 2011.
- S. Mitsuyoshi: Virtual ego and emotion emergence of computer robot by sensibility control technology. Sense, The Japan Society of Mechanical Engineers. feelings, and robot.(Book) pp. 275-308. 2008. (1703KB)
- C. Kawanishi, K. Osaka, T. Tanioka, R. C Locsin, T. Tada, S. Ueno, F. Ren, K. Matumoto and S. Mituyoshi: Establishing methods and analytical examples for empathic understanding as technological competency in nursing. INFORMATION International Informatin Institute, 10 (2): pp 253-pp 262. 2007.
- S. Mitsuyoshi, F. Ren, Y. Tanaka and S. Kuroiwa: Non-verbal voice emotion analysis system. International journal of innovative computing, information and control, Vol. 2, No. 4, pp. 819-830, 2006.
- K. Shibasaki, S. Mitsuyoshi: Evaluation of emotion recognition from intonation evaluation of sensibility technology and human emotion recognition. IEICE technical report, Vol. 105, No. 291, pp. 45-50, 2005.
- F. Ren, S. Mitsuyoshi, K. Yen, C. Zong and H. Zhu: An estimate method of the minimum entropy of natural languages. CIC Journal computational linguistics and intelligent text processing, In A. Gelbukh(Ed), Springer, pp. 382-392, 2003.
- F. Ren, S. Mitsuyoshi: To understand and create the emotion and sensitivity. International journal of information, Vol. 6, No. 5, pp. 547-556, 2003.
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