2026-05-30T20:23:56Zhttps://riuma.uma.es/rest/oai/requestoai:riuma.uma.es:10630/163892026-02-03T11:54:14Zcom_10630_2254col_10630_37959
RIUMA. Repositorio Institucional de la Universidad de Málaga
author
Casilari-Pérez, Eduardo
author
Santoyo-Ramón, José Antonio
author
Cano-García, José Manuel
2018-07-31T11:08:20Z
2018-07-31T11:08:20Z
2018-07-31
https://hdl.handle.net/10630/16389
The use of publicly available repositories containing movement traces of real or experimental subjects is a key aspect to define an evaluation framework that allows a systematic assessment of wearable fall detection systems. This papers presents a detailed analysis of a public dataset of traces which employed five sensing points to characterize the user’s mobility during the execution of ADLs (Activities of Daily Living) and emulated falls. The analysis is aimed at analysing two main factors: the importance of the election of the position of the sensor and the possible impact of the user’s personal features on the statistical characterization of the movements. Results reveal the importance of the nature of the ADL for the effectiveness of the discrimination of the falls.
spa
Sistemas de comunicaciones móviles
Analysis of a public repository for the study of automatic fall detection algorithms
conference output
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URL
https://riuma.uma.es/bitstreams/bc9565d3-7102-4cdd-854a-9856022508c3/download
File
MD5
c43471f9d0b04b8c3022bcdd3317120e
198447
application/pdf
iWOAR_casilari_ABSTRACT_RIUMA.pdf