How wearable movement sensors can detect anxiety and depression in young children

A fascinating study has demonstrated a new technique that can identify children with anxiety and depression just by analyzing their movements. Using a machine learning algorithm that examines movement tracked by a wearable motion sensor, the system is claimed to identify children with psychological disorders better, and faster, than many current methods.

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Category: Medical

Tags:

• Algorithms
• Anxiety
• Children
• Depression
• Machine Learning
• Motion sensor
• Wearable

from New Atlas (Gizmag) http://bit.ly/2AO0fro