Kaoru Shinkawa

Title

Senior Research Scientist, AI for Code

Kaoru Shinkawa

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

Digital Measures of Drawing Process to Predict Multiple Cognitive and Gait Measures in Older Adults
- - Yasunori Yamada
  - Masatomo Kobayashi
  - et al.
- 2024
- ICDH 2024
An exploratory analysis of the associations between accelerometer-derived measures and future health-related changes in older adults: preliminary results on prospective cohort study
- - Miyuki Nemoto
  - Yasunori Yamada
  - et al.
- 2024
- ICDH 2024
Vocal expression of emotions discriminates dementia with Lewy bodies from Alzheimer's disease
- - Masatomo Kobayashi
  - Yasunori Yamada
  - et al.
- 2024
- DADM
Distinct eye movement patterns to complex scenes in Alzheimer's disease and Lewy body disease
- - Yasunori Yamada
  - Kaoru Shinkawa
  - et al.
- 2024
- Frontiers in Neuroscience
Motion features relevant to mild cognitive impairment in dual-task walking: A preliminary study
- - Ryoto Katagiri
  - Yasunori Yamada
  - et al.
- 2023
- LE 2023
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

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

Top collaborators

YY

Yasunori Yamada

Yasunori Yamada

Senior Research Scientist & Technical Lead for Digital Health, IBM Research - Tokyo.

MK

Masatomo Kobayashi

Masatomo Kobayashi

Senior Research Scientist, Digital Health

HT

Hironobu Takagi

Hironobu Takagi

Accessibility Research, STSM, IBM Research - Tokyo

AK

Akihiro Kosugi

Akihiro Kosugi

Advisory Software Engineer