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Investigating Low-Cost Wireless Occupancy Sensors for Beds

Braun, Andreas and Majewski, Martin and Wichert, Reiner and Kuijper, Arjan (2016):
Investigating Low-Cost Wireless Occupancy Sensors for Beds.
In: Distributed, Ambient, and Pervasive Interactions, Springer International Publishing, Switzerland, In: 4th International Conference, DAPI 2016, Toronto, ON, Canada, July 17-22, 2016, In: Lecture Notes in Computer Science (LNCS); 9749, DOI: 10.1007/978-3-319-39862-4₃,
[Conference or Workshop Item]

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.

Item Type: Conference or Workshop Item
Erschienen: 2016
Creators: Braun, Andreas and Majewski, Martin and Wichert, Reiner and Kuijper, Arjan
Title: Investigating Low-Cost Wireless Occupancy Sensors for Beds
Language: English
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.

Title of Book: Distributed, Ambient, and Pervasive Interactions
Series Name: Lecture Notes in Computer Science (LNCS); 9749
Publisher: Springer International Publishing, Switzerland
Uncontrolled Keywords: Guiding Theme: Individual Health, Research Area: Human computer interaction (HCI), Capacitive sensors, Proximity sensing, Bluetooth, Smart objects, Smart home
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Interactive Graphics Systems
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: 4th International Conference, DAPI 2016
Event Location: Toronto, ON, Canada
Event Dates: July 17-22, 2016
Date Deposited: 06 May 2019 07:20
DOI: 10.1007/978-3-319-39862-4₃
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