Mitsuteru Nakamura

Orcid: 0000-0002-5851-5424

According to our database1, Mitsuteru Nakamura authored at least 12 papers between 2015 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Links

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Bibliography

2022
Performance Evaluation of a Voice-Based Depression Assessment System Considering the Number and Type of Input Utterances.
Sensors, 2022

2020
Evaluation of the Severity of Major Depression Using a Voice Index for Emotional Arousal.
Sensors, 2020

2019
An Attempt to Estimate Depressive Status from Voice.
Proceedings of the Pervasive Computing Paradigms for Mental Health, 2019

Discrimination of Bipolar Disorders Using Voice.
Proceedings of the Pervasive Computing Paradigms for Mental Health, 2019

Evaluation of smart devices in the IoT segment using medical healthcare technology MIMOSYS.
Proceedings of the 12th Asian Control Conference, 2019

2018
Estimating depressive status from voice.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

Feasibility Study for Estimation of Depression Severity using Voice Analysis.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2018

2017
Study on Indicators for Depression in the Elderly Using Voice and Attribute Information.
Proceedings of the Information and Communication Technologies for Ageing Well and e-Health, 2017

Study on Depression Evaluation Indicator in the Elderly using Sensibility Technology.
Proceedings of the 3rd International Conference on Information and Communication Technologies for Ageing Well and e-Health, 2017

Difference in voice analysis result by pre- and post- processing of telephone line.
Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017

2016
Validity of the Mind Monitoring System as a Mental Health Indicator.
Proceedings of the 16th IEEE International Conference on Bioinformatics and Bioengineering, 2016

2015
Validity of a Voice-Based Evaluation Method for Effectiveness of Behavioural Therapy.
Proceedings of the Pervasive Computing Paradigms for Mental Health, 2015


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