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In this paper, a type of flexible pressure sensor unit with high sensitivity (2.242 kPa\u22121), fast response time (80 ms), and remarkable stability (1000 cycles) is proposed and fabricated by the multi-walled carbon nanotube (MWCNT)\/cotton fabric (CF) material based on a dip-coating method. Six flexible pressure sensor units are integrated into a flexible wristband and made into a wearable and portable wrist sensor with favorable stability. Then, seven wrist gestures (Gesture Group #1), five letter gestures (Gesture Group #2), and eight sign language gestures (Gesture Group #3) are performed by wearing the wrist sensor, and the corresponding time sequence signals of the three gesture groups (#1, #2, and #3) from the wrist sensor are collected, respectively. To efficiently recognize different gestures from the three groups detected by the wrist sensor, a fusion network model combined with a convolutional neural network (CNN) and the bidirectional long short-term memory (BiLSTM) neural network, named CNN-BiLSTM, which has strong robustness and generalization ability, is constructed. The three types of Gesture Groups were recognized based on the CNN-BiLSTM model with accuracies of 99.40%, 95.00%, and 98.44%. Twenty gestures (merged by Group #1, #2, and #3) were recognized with an accuracy of 96.88% to validate the applicability of the wrist sensor based on this model for gesture recognition. The experimental results denote that the CNN-BiLSTM model has very efficient performance in recognizing different gestures collected from the flexible wrist sensor.<\/jats:p>","DOI":"10.3390\/mi15020185","type":"journal-article","created":{"date-parts":[[2024,1,26]],"date-time":"2024-01-26T08:56:01Z","timestamp":1706259361000},"page":"185","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Gesture Recognition Based on a Convolutional Neural Network\u2013Bidirectional Long Short-Term Memory Network for a Wearable Wrist Sensor with Multi-Walled Carbon Nanotube\/Cotton Fabric Material"],"prefix":"10.3390","volume":"15","author":[{"given":"Yang","family":"Song","sequence":"first","affiliation":[{"name":"School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601, China"},{"name":"Key Laboratory of Building Information Acquisition and Measurement Control Technology, Anhui Jianzhu University, Hefei 230601, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mengru","family":"Liu","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1972-3343","authenticated-orcid":false,"given":"Feilu","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601, China"},{"name":"Key Laboratory of Building Information Acquisition and Measurement Control Technology, Anhui Jianzhu University, Hefei 230601, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-6697-2302","authenticated-orcid":false,"given":"Jinggen","family":"Zhu","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Anyang","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Niuping","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Electronic and Information Engineering, Anhui Jianzhu University, Hefei 230601, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2024,1,26]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"5143","DOI":"10.1109\/JSEN.2020.3029017","article-title":"Large-Area, Flexible SnS\/Paper-Based Piezoresistive Pressure Sensor for Artificial Electronic Skin Application","volume":"21","author":"Selamneni","year":"2020","journal-title":"IEEE Sens. 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