About this item
- Title
- Activity recognition and resident identification in smart home environment
- Content partner
- Unitec
- Collection
- Research Bank
- Description
World’s population is ageing rapidly. There have been various efforts to improve the quality of life for elderly. Ambient assisted living is one possible solution which enables elderly or disabled people to live a better lifestyle. Currently there are smart home systems that utilize a wide range of sensors to predict our everyday activities. However, research into activity recognition and resident identification using ultrasonic sensors are limited. This work introduces machine learning techn...
- Format
- Research paper
- Research format
- Thesis
- Thesis level
- Masters
- Date created
- 2020
- Creator
- Kashyap, Venkatesh Subramanya
- URL
- https://hdl.handle.net/10652/4914
- Related subjects
- New Zealand / smart homes / people with supported needs / behaviour tracking / ultrasonic sensors / machine learning / older people / aged care / resident identification / Adaptive Agents and Intelligent Robotics / Aged Health Care
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What can I do with this item?
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If you believe this item breaches our terms of use please report this item
Report this itemDigitalNZ brings together more than 30 million items from institutions so that they are easy to find and use. This information is the best information we could find on this item. This item was added on 08 December 2021, and updated 16 April 2024.
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