| Unique ID issued by UMIN | UMIN000059555 |
|---|---|
| Receipt number | R000068119 |
| Scientific Title | Development of an IoT-Based System for Intoxication Level Assessment and Alerting via Finger Motion Change Detection |
| Date of disclosure of the study information | 2026/01/30 |
| Last modified on | 2026/01/22 11:06:06 |
A study to develop a monitoring system that measures changes in finger movements and warns about excessive drinking
HANDS: Hand Action for Noxious Drinking Screening
Development of an IoT-Based System for Intoxication Level Assessment and Alerting via Finger Motion Change Detection
HANDS: Hand Action-based Notification and Drunkenness Screening
| Japan |
Healthy adult volunteers under alcohol exposure
| Psychiatry | Orthopedics | Emergency medicine |
Others
YES
During alcohol consumption, characteristic changes in finger movement will be detected using a finger motion measurement device. This information will be used to evaluate alterations in finger movements during smartphone operation under drinking conditions. Based on these data, we will develop a smartphone application equipped with a machine learning-based intoxication detection function and an alert/warning function.
Others
A. Background and problem
Excessive alcohol use causes impaired judgment and acute intoxication, creating physical and social harm. Existing methods to estimate intoxication (wristbands, skin alcohol patches) depend on special devices that are not practical for daily life.
B. Scientific/technical approach
We have built machine learning tools that analyze finger motion and handwriting from smartphones and tablets to detect impaired fine motor control. This study will adapt those methods to detect alcohol-related loss of finger dexterity and to estimate intoxication level during real drinking using ordinary devices such as smartphones.
C. Expected social/clinical impact
Because this approach uses devices people already carry, real-world deployment is feasible. The system could warn the user, and possibly notify family or on-site staff, to prevent overdrinking and reduce alcohol-related harm.
Exploratory
Explanatory
Not applicable
Change in kinematic parameters of finger motion obtained from the smartphone-based handwriting task and thumb-movement task, including handwriting pressure, handwriting speed, variability, time to touch, and swipe speed
Subjective intoxication scale score (every 30 minutes)
Breath alcohol concentration (every 30 minutes)
Single-leg standing time (every 30 minutes)
Timed Up and Go (TUG) performance (every 30 minutes)
Blood pressure and peripheral oxygen saturation (SpO2) over time
Total alcohol intake at the end of the experiment
Interventional
Single arm
Non-randomized
Open -no one is blinded
Self control
NO
NO
Institution is not considered as adjustment factor.
NO
No need to know
1
Prevention
| Food |
Participants are healthy adults (>19 years old) who undergo baseline assessment in a sober state, including questionnaires on drinking habits and addiction screening, vital signs, and motor task performance. Each participant then consumes alcohol according to their usual drinking style after light food intake to avoid fasting intake. Every 30 minutes, until predefined stopping criteria are met (or up to 3 hours), the following are repeatedly assessed: peripheral oxygen saturation (SpO2), blood pressure, subjective intoxication score, single-leg standing time, Timed Up and Go (TUG) test, breath alcohol concentration, and two app-based motor tasks (handwriting tracing on a tablet and thumb-movement game on a smartphone). The pre-alcohol (sober) measurements serve as the within-subject control condition, and data obtained during alcohol exposure are compared against this baseline to evaluate intoxication-related changes in fine finger motion.
| 20 | years-old | <= |
| Not applicable |
Male and Female
Age > 19 years at the time of consent.
Able to provide written informed consent for study participation.
Habitual alcohol consumption of at least once per month under usual conditions.
History of trauma to the upper limbs or cervical spine
Presence of neuromuscular disease, peripheral neuropathy, or any condition that affects finger motor function
Severe alcohol use disorder/ alcohol dependence, past history of alcohol abuse, or screening positive for dependence or suspected dependence on an alcohol dependence screening questionnaire
Pregnancy or breastfeeding
Ongoing psychiatric treatment, or continuous use of psychotropic medication (e.g., antipsychotics, benzodiazepines)
Hepatic dysfunction, or a history of diseases or pharmacological treatments that substantially affect alcohol metabolism
Low alcohol tolerance as determined by saliva-based DNA testing
Inability to rest on the morning following the experimental session
Living alone
Deemed unsuitable for participation by the principal investigator or subinvestigators
30
| 1st name | Tomoyuki |
| Middle name | |
| Last name | Kuroiwa |
Graduate School of Medical and Dental Sciences, Institute of Science Tokyo
Department of Orthopaedic and Spinal Surgery
1138510
1-5-45, yushima, bunkyo-ku, Tokyo
0358035279
kuroiwa.orth@tmd.ac.jp
| 1st name | Tomoyuki |
| Middle name | |
| Last name | Kuroiwa |
Graduate School of Medical and Dental Sciences, Institute of Science Tokyo
Department of Orthopaedic and Spinal Surgery
1138510
1-5-45, yushima, bunkyo-ku, Tokyo
0358035279
kuroiwa.orth@tmd.ac.jp
Institute of Science Tokyo
Osake-no-Kagaku Foundation
Non profit foundation
Medical Research Ethics Committee of Institute of Science Tokyo
1-5-45, yushima, bunkyo-ku, Tokyo
0358034547
rinri.adm@tmd.ac.jp
NO
| 2026 | Year | 01 | Month | 30 | Day |
Unpublished
Preinitiation
| 2025 | Year | 10 | Month | 27 | Day |
| 2026 | Year | 03 | Month | 30 | Day |
| 2026 | Year | 12 | Month | 31 | Day |
| 2025 | Year | 10 | Month | 27 | Day |
| 2026 | Year | 01 | Month | 22 | Day |
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000068119