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ORCIDKimberley S. van Schooten
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2020 – today
- 2023
[j5]Sabine Schootemeijer
, Roel H. A. Weijer, Marco J. M. Hoozemans, Kim Delbaere, Mirjam Pijnappels, Kimberley S. van Schooten:
Responsiveness of Daily Life Gait Quality Characteristics over One Year in Older Adults Who Experienced a Fall or Engaged in Balance Exercise. Sensors 23(1): 101 (2023)- 2020
- [j4]Sabine Schootemeijer, Roel H. A. Weijer, Marco J. M. Hoozemans, Kimberley S. van Schooten, Kim Delbaere, Mirjam Pijnappels:
Association between Daily-Life Gait Quality Characteristics and Physiological Fall Risk in Older People. Sensors 20(19): 5580 (2020) - [j3]Yashi Nan, Nigel H. Lovell, Stephen J. Redmond, Kejia Wang, Kim Delbaere, Kimberley S. van Schooten:
Deep Learning for Activity Recognition in Older People Using a Pocket-Worn Smartphone. Sensors 20(24): 7195 (2020)
2010 – 2019
- 2019
- [j2]Kimberley S. van Schooten, Mirjam Pijnappels, Stephen R. Lord, Jaap H. van Dieën:
Quality of Daily-Life Gait: Novel Outcome for Trials that Focus on Balance, Mobility, and Falls. Sensors 19(20): 4388 (2019) - 2018
- [j1]Ahmed Nait Aicha, Gwenn Englebienne, Kimberley S. van Schooten, Mirjam Pijnappels, Ben J. A. Kröse:
Deep Learning to Predict Falls in Older Adults Based on Daily-Life Trunk Accelerometry. Sensors 18(5): 1654 (2018)
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