Zikang Leng

schoolGeorgia Institute of Technologybar_chart#3682 Global Rank

Total Papers

HCI Rank

#3682

Research Areas

Years Active

Recent Publications

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 '242nd AuthorHuman 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 '231st AuthorHuman 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 '231st AuthorHuman 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…

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