Human Fall Detection Using RFID Technology
| Autor: | Bharati Kaudki, Anil Surve |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Computer science
010401 analytical chemistry Wearable computer 02 engineering and technology Computer security computer.software_genre 01 natural sciences 0104 chemical sciences Activity recognition Intelligent sensor Falling (accident) 0202 electrical engineering electronic engineering information engineering medicine 020201 artificial intelligence & image processing Confidentiality Fall detection medicine.symptom computer Independent living |
| Zdroj: | ICCCNT |
| DOI: | 10.1109/icccnt.2018.8494022 |
| Popis: | Falling is one of the leading health risks to the independent living elder and handicapped people, elder people falling has increased rapidly in past two decades. Previously fall detection methods were based on computer vision. Computer vision based human fall detection is one of the advice, but unsuccessfully such results demand high computational cost in additionally such computer vision based approaches depends on camera and on the lighting conditions. These devices which creates a problem such as privacy. Despite research done in past, the wearable sensor and computer vision techniques which are being used nowadays create a problem such as confidentiality and it is difficult for the elder people to remember to wear the devices, the elder people who are living alone in the home can have certain incidents like falling so to monitor the elder people activities this paper presents the signal fluctuations using RFID technology using this technology the activities of the elder people can identify. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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