| Technical Name | Combining Augmented RealityRemote Real-time Notification Intelligent Bed Exit Alarm System for Predicting Elderly Falling | ||
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| Project Operator | National Cheng Kung University | ||
| Project Host | 林志隆 | ||
| Summary | With the rapid growth of the aging population, the safety of the hospitalized elderly has become an important issue. Therefore, our team propose an innovative bed-exit alarm system using multiple sensors for bed-exit detection. With data fusion, IoTAI technologies, the system can achieve early detectionsignificantly reduce false alarms. In addition, it can realize real-time video streami |
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| Scientific Breakthrough | The traditional pressure sensing bed-exit alarm system often make false alarms owing to the different bodyweight of the patients. According to the medical journal report, this kind of product has a high false alarm rate of 30. The high rate of false alarms interrupts the caregivers from time to time, increasing the burden of caringdiscouraging them from using bed-exit alarm products. Therefo |
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| Industrial Applicability | It is estimated that the system will significantly reduce the annual medical expenditure of NT$ 2 billion due to reducing fall accidentscreate NT$ 1 billion in medical care aids to assist in the safe management of elderly care. The developed supervised AI algorithm technology can also be applied to other fields of fall prevention, such as chairs, stairs,bathroom. Besides, through the coo |
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| Keyword | Artificial Intelligence Augmented Reality Bed-exit Detection Cloud Database Contactless Sensing Data Mining Internet of Things Machine Learning Microminiaturized Circuitry data fusion | ||
| Notes | |||
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