Design and Implementation of Intelligent Seat Cushion based on ARM IoT

• Main Authors: Pao-Yu Chen, 陳寶毓
• Other Authors: Yaw-Geng Chau
• Format: Others
• Language: zh-TW
• Published: 2018
• Online Access: http://ndltd.ncl.edu.tw/handle/fm89rv

碩士 === 元智大學 === 通訊工程學系 === 106 === This thesis focuses on the research and development of the intelligent cushion IoT, which uses four pressure sensors evenly distributed on the cushion to sense the sitter’s hip pressures on the upper, lower, left, and right parts. The sensed data will be transmitted to a handheld device via Bluetooth 4.0 wireless modules, where the sitter’s health information of sitter posture and muscle strength can be analyzed. In this thesis, Bluetooth modules based on the Nodic nRF51822 ARM single chip are used. In the research, besides the APP development for the Android handheld device, an algorithm for muscle strength detection is proposed. Based on the algorithm, an application program is developed for ARM and Bluetooth transmission. On the other hand, the free platform of cloud computing, Firebase, is applied in the study, and the analysis tool of Ubidots cloud can be integrated to achieve a dashboard feature. The results of the thesis can be applied to the early detection of sarcopenia, and the correction of sitter posture. If combined with alert modules, intelligent cushion can be employed in various practical applications related to the influence from changing sitter postures, such as reminding of sitter posture, warning of driving attention, etc. In the future, if the intelligent cushion can be combined with the examination of sitters’ big data, it can also be applied to the inference of sitter characteristics, such as gender decision, age determination, judgement of muscle strength, etc.