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hahashu · Nov 19, 2024 · dfa0af5 · dfa0af5
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diff --git a/_projects/3_project.md b/_projects/3_project.md
@@ -10,7 +10,7 @@ related_publications: true
 
 We introduce **perceptual alignment** as a critical aspect of human-AI interaction, focusing on bridging the gap in tactile perception alignment between humans and AI.
 
-Our research present the **first exploration** of this alignment through the "textile hand" task across two studies, examining how well LLMs align with human **touch experiences** {% cite zhong2024feeling %} and {% cite zhong2024exploring %}.
+Our research presents the **first exploration** of this alignment through the "textile hand" task across two studies, examining how well LLMs align with human **touch experiences** {% cite zhong2024feeling %} and {% cite zhong2024exploring %}.
 
 ### Study 1
 

diff --git a/_projects/5_project.md b/_projects/5_project.md
@@ -1,6 +1,6 @@
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 layout: page
-title: MilliPoints 🤸‍♀️
+title: MiliPoints 🤸‍♀️
 description: A point cloud dataset for mmWave radar human activity recognition
 img: assets/img/magnemite.png
 importance: 5
@@ -10,7 +10,7 @@ related_publications: true
 
 Millimetre-wave (mmWave) radar is cost-effective, non-intrusive and providing better protection for user privacy.
 
-MilliPoints provides mmWave point cloud data and human skeleton models as ground truth:
+MiliPoints provides mmWave point cloud data and human skeleton models as ground truth:
 
 - Covers three main tasks in human activity recognition.
 - 49 distinct actions, 4.08x more than the most action-diverse mmWave dataset.