Braun, Andreas ; Majewski, Martin ; Wichert, Reiner ; Kuijper, Arjan (2016)
Investigating Low-Cost Wireless Occupancy Sensors for Beds.
4th International Conference, DAPI 2016. Toronto, ON, Canada (17.07.2016-22.07.2016)
doi: 10.1007/978-3-319-39862-4_3
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (Abstract)
Occupancy sensors are used in care applications to measure the presence of patients on beds or chairs. Sometimes it is necessary to swiftly alert help when patients try to get up, in order to prevent falls. Most systems on the market are based on pressure-mats that register changes in compression. This restricts their use to applications below soft materials. In this work we want to investigate two categories of occupancy sensors with the requirements of supporting wireless communication and a focus on low-cost of the systems. We chose capacitive proximity sensors and accelerometers that are placed below the furniture. We outline two prototype systems and methods that can be used to detect occupancy from the sensor data. Using object detection and activity recognition algorithms, we are able to distinguish the required states and communicate them to a remote system. The systems were evaluated in a study and reached a classification accuracy between 79 and 96 with ten users and two different beds.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2016 |
| Autor(en): | Braun, Andreas ; Majewski, Martin ; Wichert, Reiner ; Kuijper, Arjan |
| Art des Eintrags: | Bibliographie |
| Titel: | Investigating Low-Cost Wireless Occupancy Sensors for Beds |
| Sprache: | Englisch |
| Publikationsjahr: | Juli 2016 |
| Verlag: | Springer International Publishing, Switzerland |
| Buchtitel: | Distributed, Ambient, and Pervasive Interactions |
| Reihe: | Lecture Notes in Computer Science (LNCS); 9749 |
| Veranstaltungstitel: | 4th International Conference, DAPI 2016 |
| Veranstaltungsort: | Toronto, ON, Canada |
| Veranstaltungsdatum: | 17.07.2016-22.07.2016 |
| DOI: | 10.1007/978-3-319-39862-4_3 |
| Kurzbeschreibung (Abstract): | Occupancy sensors are used in care applications to measure the presence of patients on beds or chairs. Sometimes it is necessary to swiftly alert help when patients try to get up, in order to prevent falls. Most systems on the market are based on pressure-mats that register changes in compression. This restricts their use to applications below soft materials. In this work we want to investigate two categories of occupancy sensors with the requirements of supporting wireless communication and a focus on low-cost of the systems. We chose capacitive proximity sensors and accelerometers that are placed below the furniture. We outline two prototype systems and methods that can be used to detect occupancy from the sensor data. Using object detection and activity recognition algorithms, we are able to distinguish the required states and communicate them to a remote system. The systems were evaluated in a study and reached a classification accuracy between 79 and 96 with ten users and two different beds. |
| Freie Schlagworte: | Guiding Theme: Individual Health, Research Area: Human computer interaction (HCI), Capacitive sensors, Proximity sensing, Bluetooth, Smart objects, Smart home |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Graphisch-Interaktive Systeme 20 Fachbereich Informatik > Mathematisches und angewandtes Visual Computing |
| Hinterlegungsdatum: | 06 Mai 2019 07:20 |
| Letzte Änderung: | 07 Mai 2019 08:29 |
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