Please use this identifier to cite or link to this item:
https://rda.sliit.lk/handle/123456789/3394
Title: | IoT Based Smart Pillow for Improved Sleep Experience |
Authors: | Ravishani, W.M.S Ganepola, G.A.S .Silva, E.D.M Chamodi Jayanika, G.H.G. Rajapaksha, U.U.S Swarnakantha, N.H.P.R.S |
Keywords: | IoT Based Smart Pillow Improved Sleep Experience |
Issue Date: | 9-Dec-2022 |
Publisher: | IEEE |
Citation: | W. M. Samoda Ravishani, G. A. Sithmi Ganepola, E. D. M. Silva, G. H. G. Chamodi Jayanika, U. U. Samantha Rajapaksha and N. H. P. Ravi Supunya Swarnakantha, "IoT Based Smart Pillow for Improved Sleep Experience," 2022 4th International Conference on Advancements in Computing (ICAC), Colombo, Sri Lanka, 2022, pp. 352-357, doi: 10.1109/ICAC57685.2022.10025301. |
Series/Report no.: | 2022 4th International Conference on Advancements in Computing (ICAC); |
Abstract: | Maintaining appropriate health by avoiding illnesses brought on by stress, heart disease, stroke, insomnia, and hormonal imbalance is made possible by managing the quality of sleep necessary for brain and memory-related tasks. In order to reduce these phenomena, we concentrated on recognizing them and developing strategies to do so. As a result, we decided to use smart pillows and bands that are Internet of Things (IoT)-based. To connect the touch sensor and relay module for improving sleep quality with the help of an automatic alarm system and light treatment system, an ESP-32 (microcontroller) was built into the pillow. The band will also have a second ESP 32 that can be connected to an oximeter, gyro, and accelerometer to improve the sleepwalk alert and health monitoring systems’ accuracy. The mobile application will also be created so that the patient and the doctor may review the patient’s sleeping patterns, and the CNN-based deep learning architecture was used to develop the emotion recognition function that uses music to improve sleep quality. For a better sleep experience, we will refer to the smart band and pillow as ”MAGICAL PILLOW” and ”MAGICAL BAND” as the ultimate products. |
URI: | https://rda.sliit.lk/handle/123456789/3394 |
ISBN: | 979-8-3503-9810-6 |
Appears in Collections: | 4th International Conference on Advancements in Computing (ICAC) | 2022 Research Papers - IEEE Research Papers - SLIIT Staff Publications |
Files in This Item:
File | Description | Size | Format | |
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IoT_Based_Smart_Pillow_for_Improved_Sleep_Experience.pdf Until 2050-12-31 | 662.07 kB | Adobe PDF | View/Open Request a copy |
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