Effective Sentiment Analysis for Multimodal Review Data on the Web

Jin, Peiquan; Li, Jianchuan; Mu, Lin; Zhou, Jingren; Zhao, Jie

doi:10.1007/978-3-030-60248-2_43

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2021

2024

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Cited by 2 publications

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“…With the advancement of sensing and electronic technologies, it has become possible to employ sensors to monitor the correctness of rehabilitation movements [5] . By utilizing appropriate electronic devices, the sensor data can be recorded and analyzed [6] , enabling relevant personnel to monitor hand rehabilitation movements in real-time and over the long term [7] . Traditional rigid sensors have poor wear comfort [8] , low tolerance among rehabilitation patients, are difficult to firmly integrate with the human body, and are prone to slipping.…”

Section: Introductionmentioning

confidence: 99%

Flexible sensor for hand rehabilitation monitoring in hemiplegic patients

Li,

Shen,

Zhang

2024

Ninth International Symposium on Sensors, Mechatronics, and Automation System (ISSMAS 2023)

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Currently, the hand rehabilitation devices used by hemiparetic patients are bulky and cumbersome, which makes it challenging to meet the needs of home-based rehabilitation. To address this issue, this study has developed a lightweight and flexible sensor specifically designed for finger joint rehabilitation training. This sensor can accurately capture the degree of finger joint flexion while also enhancing comfort. It is expected to provide a reliable, convenient, and precise support for post-stroke hemiparetic patients' hand rehabilitation.

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Section: Introductionmentioning

confidence: 99%