Improving prediction of challenging behaviors in individuals with autism using biosensors and machine learning.
SCH: Enhancing Automated Prediction of Challenging Behavior in Individuals with Autism Using Biosensor Data and Machine Learning
['FUNDING_R01'] · NORTHEASTERN UNIVERSITY · NIH-10895601
This study is looking at how to better predict challenging behaviors in people with Autism Spectrum Disorder by using wearable devices and smart technology, so that families can get real-time help and support when needed.
Quick facts
| Phase | ['FUNDING_R01'] |
|---|---|
| Study type | Nih_funding |
| Sex | All |
| Sponsor | NORTHEASTERN UNIVERSITY (nih funded) |
| Locations | 1 site (BOSTON, UNITED STATES) |
| Trial ID | NIH-10895601 on ClinicalTrials.gov |
What this research studies
This research focuses on enhancing the prediction of challenging behaviors in individuals with Autism Spectrum Disorder (ASD) by utilizing wearable biosensor data and advanced machine learning techniques. The team at Northeastern University aims to automate the detection of behaviors such as aggression and self-injury, which are common in individuals with ASD. By developing methods for individual calibration and continuous adaptation of models, the research seeks to provide real-time insights into behavioral changes. This approach could lead to more effective interventions and support for individuals with ASD and their families.
Who could benefit from this research
Good fit: Ideal candidates for this research are individuals diagnosed with Autism Spectrum Disorder who exhibit challenging behaviors.
Not a fit: Patients without a diagnosis of Autism Spectrum Disorder or those who do not exhibit challenging behaviors may not benefit from this research.
Why it matters
Potential benefit: If successful, this research could lead to improved management of challenging behaviors in individuals with autism, enhancing their quality of life and reducing the need for intensive behavioral healthcare.
How similar studies have performed: Previous research has shown promise in using machine learning and biosensor data for behavioral prediction, indicating that this approach has the potential for success.
Where this research is happening
BOSTON, UNITED STATES
- NORTHEASTERN UNIVERSITY — BOSTON, UNITED STATES (ACTIVE)
Researchers
- Principal investigator: GOODWIN, MATTHEW SCOTT — NORTHEASTERN UNIVERSITY
- Study coordinator: GOODWIN, MATTHEW SCOTT
About this research
- This is an active NIH-funded research project — typically early-stage science, not a clinical trial accepting patient enrollment.
- Some NIH-funded labs run parallel clinical studies or seek volunteers for related work. To check, contact the principal investigator or institution listed above.
- For full project details, budget, and progress reports, visit the official NIH RePORTER page below.
Conditions: Autistic Disorder