Literature DB >> 25570902

Home-based Senior Fitness Test measurement system using collaborative inertial and depth sensors.

Roozbeh Jafari, Nasser Kehtarnavaz.   

Abstract

This paper presents a home-based Senior Fitness Test (SFT) measurement system by using an inertial sensor and a depth camera in a collaborative way. The depth camera is used to monitor the correct pose of a subject for a fitness test and any deviation from the correct pose while the inertial sensor is used to measure the number of a fitness test action performed by the subject within the time duration specified by the fitness protocol. The results indicate that this collaborative approach leads to high success rates in providing the SFT measurements under realistic conditions.

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Year:  2014        PMID: 25570902     DOI: 10.1109/EMBC.2014.6944534

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Fitness Movement Types and Completeness Detection Using a Transfer-Learning-Based Deep Neural Network.

Authors:  Kuan-Yu Chen; Jungpil Shin; Md Al Mehedi Hasan; Jiun-Jian Liaw; Okuyama Yuichi; Yoichi Tomioka
Journal:  Sensors (Basel)       Date:  2022-07-29       Impact factor: 3.847

2.  Agrast-6: Abridged VGG-Based Reflected Lightweight Architecture for Binary Segmentation of Depth Images Captured by Kinect.

Authors:  Karolis Ryselis; Tomas Blažauskas; Robertas Damaševičius; Rytis Maskeliūnas
Journal:  Sensors (Basel)       Date:  2022-08-24       Impact factor: 3.847

3.  Using a Selective Ensemble Support Vector Machine to Fuse Multimodal Features for Human Action Recognition.

Authors:  Chao Tang; Anyang Tong; Aihua Zheng; Hua Peng; Wei Li
Journal:  Comput Intell Neurosci       Date:  2022-01-10
  3 in total

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