Radar Sensing Technology for Fall Detection Under Near Real-Life Conditions
Radar Sensing Technology for Fall Detection Under Near Real-Life Conditions
- Author(s): G. Diraco ; A. Leone ; P. Siciliano
- DOI: 10.1049/ic.2016.0054
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- Author(s): G. Diraco ; A. Leone ; P. Siciliano Source: 2nd IET International Conference on Technologies for Active and Assisted Living (TechAAL 2016), 2016 page ()
- Conference: 2nd IET International Conference on Technologies for Active and Assisted Living (TechAAL 2016)
- DOI: 10.1049/ic.2016.0054
- ISBN: 978-1-78561-393-7
- Location: London, UK
- Conference date: 24-25 Oct. 2016
- Format: PDF
Currently available technological solutions do not allow to reliably detect falls in the elderly, due to still-open issues on both sensing and processing sides. In fact, the most promising sensing approaches raise concerns for privacy issues (e.g., visionbased approaches) or low acceptability rate (e.g., wearablebased approaches); whereas on the processing side, commonly used methodologies are based on supervised techniques trained with both positive (falls) and negative (non-fall) samples, both simulated by healthy young subjects. As a result of such a training protocol, fall detectors inevitably exhibit lower performance when used in real-life conditions, in which monitored subjects are older adults. In order to address the problem of fall detection under real-life conditions, this study investigates privacy-preserving unobtrusive sensing technologies together with an unsupervised methodology trained exclusively on daily activity (non-fall) data from the monitored elderly subject. Preliminary results are very encouraging, showing the effectiveness to achieve a good detection performance and, most importantly, which is more reproducible in real-life scenarios.
Inspec keywords: geriatrics; medical computing; radar receivers; radar detection; learning (artificial intelligence)
Subjects: Biomedical communication; Knowledge engineering techniques; Biology and medical computing; Signal detection; Radar equipment, systems and applications
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