Investigation of sensor placement for accurate fall detection
| dc.citation.epage | 232 | en_US |
| dc.citation.spage | 225 | en_US |
| dc.citation.volumeNumber | 192 | en_US |
| dc.contributor.author | Ntanasis, P. | en_US |
| dc.contributor.author | Pippa, E. | en_US |
| dc.contributor.author | Özdemir, A. T. | en_US |
| dc.contributor.author | Barshan, Billur | en_US |
| dc.contributor.author | Megalooikonomou, V. | en_US |
| dc.coverage.spatial | Milan, Italy | en_US |
| dc.date.accessioned | 2018-04-12T11:46:53Z | en_US |
| dc.date.available | 2018-04-12T11:46:53Z | en_US |
| dc.date.issued | 2017 | en_US |
| dc.department | Department of Electrical and Electronics Engineering | en_US |
| dc.description | Date of Conference: 14-16 November 2016 | en_US |
| dc.description | Conference Name: 6th International Conference on Wireless Mobile Communication and Healthcare, MobiHealth 2016 | en_US |
| dc.description.abstract | Fall detection is typically based on temporal and spectral analysis of multi-dimensional signals acquired from wearable sensors such as tri-axial accelerometers and gyroscopes which are attached at several parts of the human body. Our aim is to investigate the location where such wearable sensors should be placed in order to optimize the discrimination of falls from other Activities of Daily Living (ADLs). To this end, we perform feature extraction and classification based on data acquired from a single sensor unit placed on a specific body part each time. The investigated sensor locations include the head, chest, waist, wrist, thigh and ankle. Evaluation of several classification algorithms reveals the waist and the thigh as the optimal locations. | en_US |
| dc.identifier.doi | 10.1007/978-3-319-58877-3_30 | en_US |
| dc.identifier.issn | 1867-8211 | en_US |
| dc.identifier.uri | http://hdl.handle.net/11693/37653 | en_US |
| dc.language.iso | English | en_US |
| dc.publisher | Springer | en_US |
| dc.relation.isversionof | http://dx.doi.org/10.1007/978-3-319-58877-3_30 | en_US |
| dc.source.title | Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering | en_US |
| dc.subject | Accelerometers | en_US |
| dc.subject | Classification | en_US |
| dc.subject | Fall classification | en_US |
| dc.subject | Fall detection | en_US |
| dc.subject | Gyroscopes | en_US |
| dc.subject | Machine learning | en_US |
| dc.subject | Sensor placement | en_US |
| dc.subject | Wearable sensors | en_US |
| dc.title | Investigation of sensor placement for accurate fall detection | en_US |
| dc.type | Conference Paper | en_US |