Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry. - Ahmed Nait Aicha; Gwenn Englebienne; Kimberley S. van Schooten; Mirjam Pijnappels; Ben J. A. Kröse (Sensors, 2018)

Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls. - Kimberley S. van Schooten; Mirjam Pijnappels; Stephen R. Lord; Jaap H. van Dieën (Sensors, 2019)

Deep Learning for Activity Recognition in Older People Using a Pocket-Worn Smartphone. - Yashi Nan; Nigel H. Lovell; Stephen J. Redmond; Kejia Wang; Kim Delbaere; Kimberley S. van Schooten (Sensors, 2020)

Association between Daily-Life Gait Quality Characteristics and Physiological Fall Risk in Older People. - Sabine Schootemeijer; Roel H. A. Weijer; Marco J. M. Hoozemans; Kimberley S. van Schooten; Kim Delbaere; Mirjam Pijnappels (Sensors, 2020)

Responsiveness of Daily Life Gait Quality Characteristics over One Year in Older Adults Who Experienced a Fall or Engaged in Balance Exercise. - Sabine Schootemeijer; Roel H. A. Weijer; Marco J. M. Hoozemans; Kim Delbaere; Mirjam Pijnappels; Kimberley S. van Schooten (Sensors, 2023)