{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T22:16:10Z","timestamp":1769724970075,"version":"3.49.0"},"reference-count":0,"publisher":"International Association of Online Engineering (IAOE)","issue":"02","license":[{"start":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T00:00:00Z","timestamp":1769644800000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Int. J. Interact. Mob. Technol."],"abstract":"<jats:p>Motor dysfunctions caused by diseases such as stroke and Parkinson\u2019s disease present significant challenges for traditional home-based rehabilitation, including low training adherence and a lack of quantitative assessment. The proliferation of mobile devices and the advancement of multi-sensor technologies offer new pathways for personalized rehabilitation. Music rhythm can promote neural plasticity through the auditory-motor neural pathways, but its application is hindered by issues such as interference from single-sensor data, insufficient robustness of traditional fusion algorithms, lack of personalized rhythm adaptation, and imbalances in accuracy and real-time performance on mobile platforms. To address these challenges, this paper proposes a multi-sensor fusion mobile interaction music rhythm rehabilitation system. The core contributions are: 1) Developing a multi-sensor architecture comprising \u201cInertial Measurement Unit (IMU) + portable Electromyography (EMG) + built-in microphone\u201d to achieve three-dimensional data collection of \u201cmotion trajectory-muscle activation-rhythm synchronization,\u201d balancing portability and completeness; 2) Designing a lightweight algorithm chain that processes data through Kalman filtering and wavelet denoising, using convolutional neural network \u2013 long short-term memory (CNN-LSTM) for end-to-end fusion of multi-modal temporal features, combined with proximal policy optimization \u2013 generative adversarial network (PPO-GAN) for generating adaptive rhythms, overcoming mobile device resource constraints; 3) Conducting case-control experiments to establish a quantitative rehabilitation assessment system. This system provides an integrated solution for home rehabilitation, offering \u201cprecise perception-intelligent adaptation-quantitative evaluation,\u201d and presents a new paradigm for interdisciplinary research in mobile healthcare and neurorehabilitation.<\/jats:p>","DOI":"10.3991\/ijim.v20i02.60139","type":"journal-article","created":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T11:19:18Z","timestamp":1769685558000},"source":"Crossref","is-referenced-by-count":0,"title":["A Multi-Sensor Fusion Approach for Music Rhythm-Based Rehabilitation System with Mobile Interaction"],"prefix":"10.3991","volume":"20","author":[{"given":"Yang","family":"Liu","sequence":"first","affiliation":[]},{"given":"Xiaoming","family":"Yi","sequence":"additional","affiliation":[]}],"member":"2371","published-online":{"date-parts":[[2026,1,29]]},"container-title":["International Journal of Interactive Mobile Technologies (iJIM)"],"original-title":[],"link":[{"URL":"https:\/\/online-journals.org\/index.php\/i-jim\/article\/download\/60139\/16975","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/online-journals.org\/index.php\/i-jim\/article\/download\/60139\/16975","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,1,29]],"date-time":"2026-01-29T11:19:18Z","timestamp":1769685558000},"score":1,"resource":{"primary":{"URL":"https:\/\/online-journals.org\/index.php\/i-jim\/article\/view\/60139"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,1,29]]},"references-count":0,"journal-issue":{"issue":"02","published-online":{"date-parts":[[2026,1,29]]}},"URL":"https:\/\/doi.org\/10.3991\/ijim.v20i02.60139","relation":{},"ISSN":["1865-7923"],"issn-type":[{"value":"1865-7923","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,1,29]]}}}