Thomas Ploetz

schoolGeorgia Institute of Technologybar_chart#1079 Global Rank

Total Papers

HCI Rank

#1079

Research Areas

Years Active

Recent Publications

ProxiCycle : Passively Mapping Cyclist Safety Using Smart Handlebars for Near-Miss Detection

Active transportation is a valuable tool to prevent some of the most common causes of mortality worldwide, but is severely underutilized. The primary factors preventing cyclist adoption are safety concerns, specifically, the fear of collision from automobiles. One solution to address this concern is to direct cyclists…

UBICOMP '24CorrespondingHuman Pose & Activity Recognition

IMUGPT 2.0: Language-Based Cross Modality Transfer for Sensor-Based Human Activity Recognition

Leng 等人提出 IMUGPT 2.0，利用语言模型实现传感器数据与视觉模态之间的跨模态迁移学习。

UBICOMP '24CorrespondingHuman Pose & Activity Recognition +2

More Data for People with Disabilities! Comparing Data Collection Efforts for Wheelchair Transportation Mode Detection

Transportation mode detection (TMD) for wheelchair users is essential for applications that facilitate enhancing accessibility and quality of life. Yet, the lack of extensive datasets from disabled individuals hinders the development of tailored TMD systems. Our study assesses two data collection methods in TMD for di…

UBICOMP '23CorrespondingSleep & Stress Monitoring +2

Challenges in Using Skin Conductance Responses for Assessments of Information Worker Productivity

Breaks as discretionary self-interruptions can have beneficial effects on information worker productivity and well-being. This has design implications for potential productivity tools that can assess opportune moments to suggest these breaks. Electrodermal Activity (EDA) is a good psychophysiological metric to capture…

UBICOMP '23CorrespondingHuman Pose & Activity Recognition +1

Generating Virtual On-body Accelerometer Data from Virtual Textual Descriptions for Human Activity Recognition

The development of robust, generalized models for human activity recognition (HAR) has been hindered by the scarcity of large-scale, labeled data sets. Recent work has shown that virtual IMU data extracted from videos using computer vision techniques can lead to substantial performance improvements when training HAR m…

UBICOMP '23CorrespondingHuman Pose & Activity Recognition

On the Utility of Virtual On-body Acceleration Data for Fine-grained Human Activity Recognition

Previous work has demonstrated that virtual accelerometry data, extracted from videos using cross-modality transfer approaches like IMUTube, is beneficial for training complex and effective human activity recognition (HAR) models. Systems like IMUTube were originally designed to cover activities that are based on subs…

UBICOMP '23CorrespondingHuman Pose & Activity Recognition

How much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?

The prospect of learning effective representations from unlabeled data alone has led to a boost in developing self-supervised learning (SSL) methods for sensor-based Human Activity Recognition (HAR). Typically, (large-scale) unlabeled data are used for pre-training, with the learned weights being used as feature extra…

CHI '182nd AuthorEye Tracking & Gaze Interaction +1

A Unified Model for User Identification on Multi-touch Surfaces. A Survey and Meta-analysis.

User identification on interactive surfaces is a desirable feature that is not inherently supported by existing technologies. We have conducted an extensive survey of existing identification techniques, which led us to formulate a unified model for user identification. We start by introducing this model that 1) classi…

CHI '185th+ AuthorHand Gesture Recognition +1

FingerPing: Recognizing Fine-grained Hand Poses using Active Acoustic On-body Sensing

FingerPing is a novel sensing technique that can recognize various fine-grained hand poses by analyzing acoustic resonance features. A surface-transducer mounted on a thumb ring injects acoustic chirps (20Hz to 6,000Hz) to the body. Four receivers distributed on the wrist and thumb collect the chirps. Different hand…

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