Development of objective measures for depression, bipolar disorder and dementia by quantifying facial expression, body movement, and voice data during clinical interview and daily activity utilizing wearable device

Development of objective measures for depression, bipolar disorder and dementia by quantifying facial expression, body movement, and voice data during clinical interview and daily activity utilizing wearable device - Development of objective measures for depression, bipolar disorder and dementia by quantifying facial expression, body movement, voice, and daily activity

Status

Active, not recruiting

Phases

Unknown

Study type

Interventional

Source

JPRN

Registry ID

JPRN-UMIN000023764

Enrollment

500

Registered

2016-08-25

Start date

2016-09-01

Completion date

Unknown

Last updated

2026-06-29

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

1. Patients with depressive disorder or bipolar disorder 2. Patients with dementia, mild cognitive impairment, or subjective cognitive impairment 3. Healthy volunteers

Interventions

1)Collect demographical/clinical characteristics from chart, participant and treating physician 2)Video/infrared/voice recording during a 10-minute conversation with psychiatrist and/or psychologist.

Eligibility

Sex/Gender

All

Inclusion criteria

Inclusion criteria: Inclusion criteria: As patients (1) a) Out/in-patients at study sites diagnosed as depressive disorder or bipolar disorder b) Out/in-patients at study sites diagnosed as dementia, mild cognitive impairment, or subjective cognitive impairment (2) 20 years old or older (3) Decisionally not impaired judged by treating physician. If judged as decisionally impaired, patients' guardians can give consent As healthy volunteers (1) Healthy volunteers who are offered participation to the study through web site.

Exclusion criteria

Exclusion criteria: Exclusion Criteria: As patients (1) Patients whose illness can be exacerbated by interview of the study. (2) Patients who have comorbidities that can interfere with measurements in the study; such as patients with facial palsy or involuntary movement, patients with quadriplegic palsy or involuntary motion, patients with dysphonia by laryngectomy. (3) Those who are considered to be ineligible by the PI or investigators.

Design outcomes

Primary

Measure	Time frame
Comprehensive severity score based on facial expression, body movement, voice, and daily activity data produced by machine learning	—

Secondary

Measure	Time frame
1)Machine learning-severity score based on facial expression data 2)Machine learning-severity score based on body movement data 3)Machine learning-severity score based on voice data (mainly using the acoustic features) 4)Machine learning-severity score based on voice data (mainly using the features such as speed of speech, time to reply) 5)Machine learning-severity score based on text data 6)Machine learning-severity score based on daily activity data	—

Measure

Time frame

1)Machine learning-severity score based on facial expression data 2)Machine learning-severity score based on body movement data 3)Machine learning-severity score based on voice data (mainly using the acoustic features) 4)Machine learning-severity score based on voice data (mainly using the features such as speed of speech, time to reply) 5)Machine learning-severity score based on text data 6)Machine learning-severity score based on daily activity data

—

Countries

Japan

Contacts

Public ContactMomoko Kitazawa

Keio University School of Medicine Department of Neuropsychiatry PROMPT office

m.kitazawa@keio.jp03-5363-3492

Outcome results

None listed

Source: JPRN (via WHO ICTRP) · Data processed: Jul 3, 2026