Development of a capacitive proximity sensing technique for the monitoring of elderly homes /
With the advent and progress of technology, care of senior individuals has been enhanced by the capability to make spontaneous and timely decisions to protect life and deliver safe and prompt care. Research shows that assistive technology can provide systems to aid in the prevention and detection of...
Saved in:
| Main Author: | |
|---|---|
| Format: | Thesis |
| Language: | English |
| Published: |
Kuala Lumpur :
Kulliyyah of Engineering, International Islamic University Malaysia,
2018
|
| Subjects: | |
| Online Access: | Click here to view 1st 24 pages of the thesis. Members can view fulltext at the specified PCs in the library. |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | With the advent and progress of technology, care of senior individuals has been enhanced by the capability to make spontaneous and timely decisions to protect life and deliver safe and prompt care. Research shows that assistive technology can provide systems to aid in the prevention and detection of injuries to seniors, leading to a faster response from monitoring personnel. The monitoring can be performed with various types of sensors, but the solution presented here incorporates most of the functionalities found in related work in one comprehensive system. The system that was proposed uses capacitive proximity sensing to detect human presence, falls and movement. The sensor arrangement consists of a matrix of thin planar electrodes under the floor surface, which makes the system completely undetectable and discreet. Furthermore, no devices need to be worn and no batteries need to be charged. The presence or occupancy of the sensors is activated when there is a change in capacitance value. The weight of a person exerts a pressure on the sensor, causing a change in capacitance, hence indicating the occupancy of the sensor spot when a threshold value (set for this purpose) is exceeded. The mean positioning error when observing people who are walking is 60cm, with a gap of 5cm between each sensor. The success rate of identification of occupied sensors was found to be 90%, for four sets of test conducted. The system proposed here works according to Plug & Play approach with real-time graphical user interface. |
|---|---|
| Physical Description: | xviii, 158 leaves : colour illustrations ; 30cm. |
| Bibliography: | Includes bibliographical references (leaves 118-124). |