Literature DB >> 28268392

Testing non-wearable fall detection methods in the homes of older adults.

Marjorie Skubic, Bradford H Harris, Erik Stone, K C Ho, Marilyn Rantz.   

Abstract

In this paper, we describe two longitudinal studies in which fall detection sensor technology was tested in the homes of older adults. The first study tested Doppler radar, a two-webcam system, and a depth camera system in ten apartments for two years. This continuous data collection allowed us to investigate the real-world setting of target users and compare the advantages and limitations of each sensor modality. Based on this study, the depth camera was chosen for a current ongoing study in which depth camera systems have been installed in 94 additional older adult apartments. We include a discussion of the different sensor systems, the pros and cons of each, and results of the fall detection and false alarms in the older adult homes.

Mesh:

Year:  2016        PMID: 28268392     DOI: 10.1109/EMBC.2016.7590763

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


  4 in total

1.  Assessment of Fall Characteristics From Depth Sensor Videos.

Authors:  Jennifer J O'Connor; Lorraine J Phillips; Bunmi Folarinde; Gregory L Alexander; Marilyn Rantz
Journal:  J Gerontol Nurs       Date:  2017-07-01       Impact factor: 1.254

2.  DeepFall: Non-Invasive Fall Detection with Deep Spatio-Temporal Convolutional Autoencoders.

Authors:  Jacob Nogas; Shehroz S Khan; Alex Mihailidis
Journal:  J Healthc Inform Res       Date:  2019-12-18

3.  Smart Secure Homes: A Survey of Smart Home Technologies that Sense, Assess, and Respond to Security Threats.

Authors:  Jessamyn Dahmen; Diane J Cook; Xiaobo Wang; Wang Honglei
Journal:  J Reliab Intell Environ       Date:  2017-02-15

Review 4.  Methods for the Real-World Evaluation of Fall Detection Technology: A Scoping Review.

Authors:  Robert W Broadley; Jochen Klenk; Sibylle B Thies; Laurence P J Kenney; Malcolm H Granat
Journal:  Sensors (Basel)       Date:  2018-06-27       Impact factor: 3.576

  4 in total

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