2026-05-27T04:43:00Zhttps://riuma.uma.es/rest/oai/request

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

Kinematic Mobile Drop Jump Analysis at Different Heights Based on a Smartphone Inertial Sensor Mateos-Angulo, Álvaro Galán-Mercant, Alejandro Cuesta-Vargas, Antonio Biomecánica 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. 2025-01-09T09:07:41Z 2025-01-09T09:07:41Z 2020-07-21 journal article 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 eng open access Scielo