STEGA

a PlatformSTL Technology

(Standardized Tracing Evaluation and Grapheme Assessment)

PlatformSTL is developing the first automated, digital, scientifically validated, scalable assessment of the motor skills that underpin handwriting. We can help school-age children with fine-motor delays get the therapy and support they need to improve handwriting. 

 

STEGA (Standardized Tracing Evaluation and Grapheme Assessment) measures handwriting rapidly and objectively. STEGA will work as a force multiplier for occupational therapists by shifting the burden of testing from a time-consuming manual process to an automated digital process. 

Our Progress & Plan

PlatformSTL has developed an advanced prototype of the STEGA drawing test as an iPad app. In a study at Washington University in St. Louis with school-age children, STEGA’s machine learning approach demonstrated 99% accuracy in predicting handwriting. 

 

In 2018, PlatformSTL was awarded an NIH Phase I STTR grant through the Eunice Kennedy Shriver National Institute of Child Health and Human Development. With our STTR funds, we built a minimum viable product and demonstrated the feasibility of STEGA —far exceeding the aims of our grant on both counts. PlatformSTL is now pursuing additional funding to refine, further validate and scale STEGA as a ready-for-market product. PlatformSTL anticipates releasing two commercial-ready versions of the STEGA app by 2021: for movement control research and for school assessment. PlatformSTL will seek broad adoption of the tool within school districts across the country. 

Our Partners

Directs the Neuroscience and Rehabilitation Laboratory in the Program for Occupational Therapy at Washington University in St. Louis. During his research, he developed a drawing task to assess hand function, which forms the basis of his invention STEGA, the first quantitative digital assessment of handwriting. His lab uses behavioral and neuroimaging methods to understand brain lateralization and plasticity. Dr. Philip’s research goal is to understand the brain’s mechanisms of hand dominance, and manipulate them to help patients who lose the use of their dominant hand after nerve injury, amputation, or stroke.

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Benjamin Philip

Leads the Machine Learning for Biomedical Research Laboratory in the Department of Psychiatry at Washington University in St. Louis and in the Departm...

A pediatric and school-based Occupational Therapist, certified Assistive Technology Practitioner, and instructor at the Washington University Program ...

As a therapist working with children on handwriting, Dr. Hoyt is acutely aware of the gap in assessment to measure outcomes in this area. Dr. Hoyt con...

Strategic Partner

PlatformSTL partners with researchers at Washington University in St. Louis on each of our four emerging technologies. Our direct working relationship with faculty partners ensures that research study findings are integrated seamlessly into PlatformSTL’s product development process.

Contact Us

School administrators and clinicians: contact us if you'd like to learn more or enroll your school in our pilot program

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4340 Duncan Avenue St Louis, MO 63110