The　sensitivity　and　linear　response　of　flexible　pressure　sensors　are　critical　to　quantifying　tactile　information　and　simplifying　signal　processing.　Despite　extensive　research　on　microstructured　dielectric-based　capacitive　pressure　sensors,　the　nonlinear　response　resulting　from　the　decline　in　sensitivity　due　to　increased　pressure　has　not　been　adequately　addressed.　To　address　this　shortcoming,　this　study　proposes　an　innovative　gradient　porous　composite,　prepared　via　a　facile　sacrifice　template　method,　as　the　dielectric　layer　of　capacitive　pressure　sensors.　Specifically,　the　percolation　effect　caused　by　the　incorporation　of　multiwalled　carbon　nanotubes　(MWCNTs)　into　porous　polydimethylsiloxane　(PDMS)　can　effectively　enhance　the　sensor＇s　sensitivity.　In　addition,　the　gradient　porosity　modulates　the　deformation　process　of　the　sensing　layer,　further　extending　the　linear　sensing　range.　With　synergistic　optimizations,　the　proposed　sensor　can　simultaneously　achieves　high　sensitivity　(0.134　kPa−1),　good　linearity　(R2　=　0.9874),　and　broad　working　range　(0–200　kPa).　Furthermore,　the　sensor　features　a　low　detection　limit　(∼10　Pa),　rapid　response　speed　(3000　cycles).　Such　excellent　overall　performance　renders　the　sensor　successfully　applied　to　various　physiological　signal　monitoring　scenarios,　including　wrist　pulse　detection,　finger　bending　monitoring,　foot　pressure　measurement,　and　dynamic　gait　analysis.　The　ability　to　map　pressure　distribution　is　also　demonstrated　by　a　3　×　3　sensor　array.　All　these　experimental　properties　indicate　the　promising　applicability　of　the　designed　sensor　in　wearable　devices　and　human-machine　interaction.　©　2025　Elsevier　Ltd