基于压力感知的身体响应型智能沙发设计研究
摘要
薄膜压力矩阵为感知入口的身体响应型智能沙发设计。研究不以医学诊断或完整机械闭环为目标,而聚焦柔性传
感器进入软体家具后的界面适配:通过表层面料、柔顺舒适层、力扩散过渡层、压力薄膜传感层和平整支撑基底
的协同分层,降低海绵变形、缝线压痕与局部受力尖峰对数据的干扰;进一步以接触面积、压力中心、左右对称
性和持续时间等特征,形成从压力采集到姿态语义的转译,并以弱干预方式提供腰背承托、侧向包裹和起身前沿
支撑。最终形成兼顾姿态包容、隐性智能与维护便利性的概念方案,为柔性传感技术在智能软体家具中的设计转
化提供参考。
关键词
全文:
PDF参考
[1]ZEMP R, TAYLOR W R, LORENZETTI S. Seat pan and backrest pressure distribution while sitting in office chairs[J]. Applied Ergonomics, 2016, 53: 1-9. DOI:10.1016/ j.apergo.2015.08.004.
[2]CAI W, ZHAO D, ZHANG M, et al. Improved self-organizing map-based unsupervised learning algorithm for sitting posture recognition system[J]. Sensors, 2021, 21(18): 6246. DOI:10.3390/s21186246.
[3]MA C, LI W, GRAVINA R, et al. Posture detection based on smart cushion for wheelchair users[J]. Sensors, 2017, 17(4): 719. DOI:10.3390/s17040719.
[4]LIU Z, CASCIOLI V, MCCARTHY P W. Review of measuring microenvironmental changes at the body-seat interface and the relationship between object measurement and subjective evaluation[J]. Sensors, 2020, 20(23): 6715. DOI:10.3390/s20236715.
[5]MARTÍNEZ-ESTRADA M, VUOHIJOKI T, POBERZNIK A, et al. A smart chair to monitor sitting posture by capacitive textile sensors[J]. Materials, 2023, 16(13): 4838. DOI:10.3390/ma16134838.
DOI: http://dx.doi.org/10.12361/gyjss.164293
Refbacks
- 当前没有refback。

