Kaoru Shinkawa

Overview

Title

Digital Health, Healthcare Research, TRL

Location

IBM Research - Tokyo Tokyo, Japan

Bio

Kaoru Shinkawa is a senior research scientist in Digital Health group, IBM Research, Tokyo. Her research interests include speech and language analysis to detect the speech and language changes across the spectrum of normal aging and the people with neurodegenerative diseases.
She received Master of Engineering from Nara Institute of Science and Technology, in the Computational Linguistics lab.

Publications

Smartwatch-derived acoustic markers for deficits in cognitively relevant everyday functioning
- - Yasunori Yamada
  - Kaoru Shinkawa
  - et al.
- 2023
- ICDH 2023
Balance Measures Derived from Insole Sensor Differentiate Prodromal Dementia with Lewy Bodies
- - Masatomo Kobayashi
  - Yasunori Yamada
  - et al.
- 2023
- ICDH 2023
An Automated Digital Biomarker of Mobility
- - Tian Hao
  - Yasunori Yamada
  - et al.
- 2023
- ICDH 2023
A mobile application using automatic speech analysis for classifying Alzheimer’s disease and mild cognitive impairment
- - Yasunori Yamada
  - Kaoru Shinkawa
  - et al.
- 2023
- Computer Speech and Language
Structural Cerebral Network Differences in Prodromal Alzheimer’s Disease and Prodromal Dementia with Lewy Bodies
- - Miho Ota
  - Kiyotaka Nemoto
  - et al.
- 2022
- Dement Geriatr Cogn Disord
Speech and language characteristics differentiate Alzheimer's disease and dementia with Lewy bodies
- - Yasunori Yamada
  - Kaoru Shinkawa
  - et al.
- 2022
- DADM
Automated Analysis of Drawing Process to Estimate Global Cognition in Older Adults: Preliminary International Validation on the US and Japan Data Sets
- - Yasunori Yamada
  - Kaoru Shinkawa
  - et al.
- 2022
- JMIR Formative Research
Can AI make people happy? The effect of AI-based chatbot on smile and speech in Parkinson's disease
- - Mayuko Ogawa
  - Genko Oyama
  - et al.
- 2022
- Parkinsonism and Related Disorders
Tablet-Based Automatic Assessment for Early Detection of Alzheimer's Disease Using Speech Responses to Daily Life Questions
- - Yasunori Yamada
  - Kaoru Shinkawa
  - et al.
- 2021
- Frontiers in Digital Health
Predicting Future Accident Risks of Older Drivers by Speech Data from a Voice-Based Dialogue System: A Preliminary Result
- - Yasunori Yamada
  - Kaoru Shinkawa
  - et al.
- 2020
- AHFE 2020

Patents

- 31 May 2021
- US
- 11024329
Word Repetition In Separate Conversations For Detecting A Sign Of Cognitive Decline
- 21 Jan 2019
- US
- 10185466
Selecting Menu For An Object In A Graphical User Interface (gui) Environment
- 19 Apr 2018
- JP
- 6323828
A Method For Efficient Generation Of Video Captioning From Multiple Inputs
- 07 Oct 2014
- US
- 8856183
Database Access Using Partitioned Data Areas
- 11 Nov 2013
- US
- 8584095
Test Support System, Method And Computer Program Product, Which Optimize Test Scenarios To Minimize Total Test Time
- 11 Jul 2013
- JP
- 5315415
Improved User Interface In Gui Menu Selection For A Gui Object
- 24 Apr 2013
- CN
- ZL200910211084.2
A Method For Efficient Search On Xml Db Based On Range Partitioning
- 05 Oct 2012
- JP
- 5102823
Test Support Device, Testing Device, Test Support Method And Computer Program, Which Optimize Test Scenarios To Minimize Total Test Time
- 15 Feb 2012
- KR
- 1119290
A Method For Efficient Search On Xml Db Based On Range Partitioning
- 24 Feb 2011
- JP
- 4688111
A Method For Efficient Search On Xml Db Based On Range Partitioning

Projects

Behavioral Analysis for Alzheimer's Disease

Multiple digital health-related applications for Alzheimer's disease using behavioral sensor data

View more projects

Blog posts

Daily chats with AI could help spot early signs of Alzheimer’s
Research
Yasunori Yamada, Kaoru Shinkawa, and Masatomo Kobayashi
20 Apr 2021
3 minute read
- AI
- Healthcare