Kinesis Balance
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Home Balance and Falls Risk Assessment Tool Smartphone self-assessment of balance and falls risk |
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Smartphone application to empower older adults to maintain their balance and prevent falls
Our secure Android application uses the sensors embedded in a smartphone along with simple questionnaires to track balance and falls risk over time using our advanced machine learning algorithms.
Our products engage, empower and motivate older adults to prevent falls and are backed by thirteen years of research. |
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Reliable profiling of balance and falls risk
Kinesis Balance can be used for self-assessment of balance impairment and falls risk in the home environment using smartphone or wearable sensors.
Statistical prediction of falls using validation machine learning models and percentile based assessment of balance impairment. Calculation of 19 quantitative measures of balance. |
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Track clinical falls risk factors
A simple questionnaire coupled with a data-driven machine learning algorithm tracks the most common clinical falls risk factors to improve fall risk assessment and promote self-manage of risk.
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Advice and best practice to prevent falls
Expert advice and exercises to help prevent falls. Designed for older adults, patients and their carers to help maintain healthy balance and prevent falls.
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Digital endpoints supporting remote clinical trialsDigital endpoints supporting remote clinical trials
The Kinesis Balance algorithms are validated and suitable for use as digital endpoints for clinical trials.
Kinesis Balance is GDPR and HIPAA compliant with no Personally Identifiable Information (PII) stored. Data are securely backed up to our cloud, with both raw and calculated data for 19 quantitative balance parameters available for export and analysis. |
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WHAT IS KINESIS BALANCE™?
Scientifically validated
Over 13 years of dedicated scientific research has gone into developing Kinesis products |
Fast and efficient
Smartphone assessment of balance and falls risk using a simple balance test in less than 2 minutes |
Smartphone algorithm
Validated machine-learning algorithm to accurately assess balance impairment and falls risk using a smartphone |