Yuvraj Agarwal

schoolCarnegie Mellon Universitybar_chart#510 Global Rank

Total Papers

HCI Rank

#510

Research Areas

Years Active

Recent Publications

IMUCoCo: Enabling Flexible On-Body IMU Placement for Human Pose Estimation and Activity Recognition

IMUs are regularly used to sense human motion, recognize activities, and estimate full-body pose. Users are typically required to place sensors in predefined locations that are often dictated by common wearable form factors and the machine learning model's training process. Consequently, despite the increasing number…

UBICOMP '243rd AuthorPrivacy by Design & User Control

Matcha: An IDE Plugin for Creating Accurate Privacy Nutrition Labels

Li 等人开发 Matcha IDE 插件，自动分析应用代码生成精确的隐私营养标签，帮助用户理解应用数据收集行为。

UBICOMP '24CorrespondingPrivacy by Design & User Control

Kirigami: Lightweight Speech Filtering for Privacy-preserving Activity Recognition using Audio

Boovaraghavan 等人设计 Kirigami 轻量级语音过滤框架，通过过滤敏感语音特征在保护用户隐私前提下实现音频活动识别。

UBICOMP '24CorrespondingIntelligent Tutoring Systems & Learning Analytics +2

ClassID: Enabling Student Behavior Attribution from Ambient Classroom Sensing Systems

Patidar 等人开发ClassID环境课堂感知系统，通过多模态传感器和机器学习实现学生行为自动归因，帮助教师实时了解课堂动态与学生参与度。

CHI '24CorrespondingPrivacy by Design & User Control +1

Bring Privacy To The Table: Interactive Negotiation for Privacy Settings of Shared Sensing Devices

To address privacy concerns with the Internet of Things (IoT) devices, researchers have proposed enhancements in data collection transparency and user control. However, managing privacy preferences for shared devices with multiple stakeholders remains challenging. We introduced ThingPoll, a system that helps users neg…

CHI '245th+ AuthorPrivacy Perception & Decision-Making +1

Is a Trustmark and QR Code Enough? The Effect of IoT Security and Privacy Label Information Complexity on Consumer Comprehension and Behavior

The U.S. Government is developing a package label to help consumers access reliable security and privacy information about Internet of Things (IoT) devices when making purchase decisions. The label will include the U.S. Cyber Trust Mark, a QR code to scan for more details, and potentially additional information. To ex…

UBICOMP '23CorrespondingContext-Aware Computing +2

Mites: Design and Deployment of a General-Purpose Sensing Infrastructure for Buildings

"There is increasing interest in deploying building-scale, general-purpose, and high-fidelity sensing to drive emerging smart building applications. However, the real-world deployment of such systems is challenging due to the lack of system and architectural support. Most existing sensing systems are purpose-built, co…

UBICOMP '23CorrespondingHuman Pose & Activity Recognition +1

TAO: Context Detection from Daily Activity Patterns Using Temporal Analysis and Ontology

"Translating fine-grained activity detection (e.g., phone ring, talking interspersed with silence and walking) into semantically meaningful and richer contextual information (e.g., on a phone call for 20 minutes while exercising) is essential towards enabling a range of healthcare and human-computer interaction applic…

UBICOMP '23CorrespondingHuman Pose & Activity Recognition +2

VAX: Using Existing Video and Audio-based Activity Recognition Models to Bootstrap Privacy-Sensitive Sensors

"The use of audio and video modalities for Human Activity Recognition (HAR) is common, given the richness of the data and the availability of pre-trained ML models using a large corpus of labeled training data. However, audio and video sensors also lead to significant consumer privacy concerns. Researchers have thus e…

DIS '235th+ AuthorHonorable MentionIntelligent Tutoring Systems & Learning Analytics +1

"An Instructor is [already] able to keep track of 30 students": Students’ Perceptions of Smart Classrooms for Improving Teaching & Their Emergent Understandings of Teaching and Learning

Multi-modal classroom sensing systems can collect complex behaviors in the classroom at a scale and precision far greater than human observers to capture learning insights and provide personalized teaching feedback. As students are critical stakeholders in the adoption of smart classrooms for the improvement of teachi…

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