2026-05-27T15:27:07Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/360282026-02-03T11:04:24Zcom_10630_2254col_10630_37953

Mateos-Angulo, Álvaro Galán-Mercant, Alejandro Cuesta-Vargas, Antonio 2025-01-09T09:07:41Z 2025-01-09T09:07:41Z 2020-07-21 Mateos-Angulo A, Galán-Mercant A, Cuesta-Vargas AI. Kinematic Mobile Drop Jump Analysis at Different Heights Based on a Smartphone Inertial Sensor. J Hum Kinet. 2020 Jul 21;73:57-65. doi: 10.2478/hukin-2019-0131. PMID: 32774537; PMCID: PMC7386144. https://hdl.handle.net/10630/36028 10.2478/hukin-2019-0131 The purpose of this study was to describe the acceleration variables in a plyometric jump test using the inertial sensor built into an iPhone 4S® smartphone, and the jumping variables from a contact mat. A cross-sectional study was conducted involving 16 healthy young adults. Linear acceleration, flight time, contact time and jump height were measured in a drop jump test from 60 cm and from 30 cm. Greater acceleration values were found in the drop jump test from 60 cm; the same was observed for the values from the contact mat. Multiple regression analysis was performed for each drop jump test: jump height was used as the dependent variable, and the most relevant variables were used as predictor variables (weight and maximum angular velocity in the Y axis for analysis of the drop jump from 60 cm, and weight and maximum acceleration in the Z axis for the drop jump from 30 cm). We found a significant regression model for the drop jump test from 60 cm (R2 = 0.515, p " 0.001) and for the test from 30 cm (R2 = 0.460, p " 0.01). According to the results obtained in this study, the built-in iPhone 4S® inertial sensor is able to measure acceleration for healthy young adults performing a vertical drop jump test. The acceleration kinematic variables are higher in the drop jump test from 60 cm than from 30 cm. eng open access Biomecánica Kinematic Mobile Drop Jump Analysis at Different Heights Based on a Smartphone Inertial Sensor journal article