Gait detection from a wrist-worn sensor using machine learning methods: a daily living study in older adults and people with parkinson’s disease

HIGHLIGHTS

• who: Yonatan E. Brand and collaborators from the Center for the Study of Movement, Cognition and Mobility, Neurological Institute, Sagol School of Neuroscience, Tel Aviv University, Tel Aviv, Israel Chicago, IL, USA have published the research work: Gait Detection from a Wrist-Worn Sensor Using Machine Learning Methods: A Daily Living Study in Older Adults and People with Parkinsonu2019s Disease, in the Journal: Sensors 2022, 22, 7094. of /2022/
• what: The authors used only the left wrist data, as the authors aimed to detect gait from a wrist-worn sensor. The models were trained and . . .
  

   

  

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