By Associate Professor Kim van Schooten

Preprints

He Y; Lee J; Kim JA; Brodie MA; Mitri G; van Schooten KS; Lovell N; Lord SR; Okubo Y, 2025, Virtual Obstacle-Avoidance Training Using Daily-Life Obstacles with Physical Feedback in Older People: A Cross-Over Trial, http://dx.doi.org/10.2139/ssrn.5104022

Al Abiad N; van Schooten K; Renaudin V; Delbaere K; Robert T, Association of prospective falls in older people with ubiquitous step-based fall risk parameters calculated from ambulatory inertial signals: retrospective observational data analysis study (Preprint), http://dx.doi.org/10.2196/preprints.49587

Baggen RJ; van Schooten KS; Van Roie E; Verschueren SM; Delecluse C; Delbaere K; Lord SR; van Dieën JH, Bench-stepping training improves stair-walking dynamics in older women: evidence from an exploratory nonlinear kinematic analysis, http://dx.doi.org/10.64898/2026.07.02.26357116

Zheng X; Zeng Z; van Schooten KS; Yang Y, Correction: Machine Learning Approach for Frailty Detection in Long-Term Care Using Accelerometer-Measured Gait and Daily Physical Activity: Model Development and Validation Study (Preprint), http://dx.doi.org/10.2196/preprints.85173

Zhang Y; Weijer RHA; van Schooten KS; Bruijn SM; Pijnappels M, External validation and further exploration of fall prediction models based on questionnaires and daily-life trunk accelerometry, http://dx.doi.org/10.1101/2022.09.26.509506

Zheng X; Zeng Z; S van Schooten K; Yang Y, Machine Learning Approach for Frailty Detection in Long-Term Care Using Accelerometer-Measured Gait and Daily Physical Activity: Model Development and Validation Study (Preprint), http://dx.doi.org/10.2196/preprints.77140

van Schooten KS; Vakulin A; Khanal R; Sansom K; Bletsas J; Delbaere K, Self-reported sleep problems are associated with impaired daily-life gait quality and increased fall risk in older people, http://dx.doi.org/10.64898/2026.03.30.26349800

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