Qian Zhang

schoolShanghai Jiao Tong Universitybar_chart#2006 Global Rank

Total Papers

HCI Rank

#2006

Research Areas

Years Active

Recent Publications

RageSense: Leveraging Acoustic Sensing and LLM-Based Intervention for Emotion Regulation in Mobile Gaming

RageSense introduces a novel system for detecting and regulating player frustration during mobile gaming. Instead of relying on coarse emotion labels, RageSense estimates users’ valence and arousal levels in real time using near-ultrasonic acoustic sensing. By analyzing facial muscle movements via built-in smartphone…

CHI '252nd AuthorHonorable MentionBiosensors & Physiological Monitoring +1

EchoBreath: Continuous Respiratory Behavior Recognition in the Wild via Acoustic Sensing on Smart Glasses

Monitoring the occurrence count of abnormal respiratory symptoms helps provide critical support for respiratory health. While this is necessary, there is still a lack of an unobtrusive and reliable way that can be effectively used in real-world settings. In this paper, we present EchoBreath, a passive and active acous…

UBICOMP '242nd AuthorVibrotactile Feedback & Skin Stimulation

Sensing to hear through memory: Ultrasound speech enhancement without real ultrasound signals

Liu 等人提出基于记忆感知的超声语音增强方法，在无需真实超声信号的情况下实现语音增强。

UBICOMP '241st AuthorIntelligent Voice Assistants (Alexa, Siri, etc.) +2

Lipwatch: Enabling Silent Speech Recognition on Smartwatches using Acoustic Sensing

Zhang等人提出Lipwatch声学传感系统，通过智能手表捕捉嘴唇运动实现无声语音识别，支持私密交流场景。

IUI '191st AuthorHuman-LLM Collaboration +1

ShopEye: Fusing RFID and Smartwatch for Multi-relation Excavation in Physical stores

Smart retail stores open new possibilities for enabling a variety of physical analytics, such as users' shopping trajectories and preferences for certain items. This paper aims to excavate three kinds of relations in physical stores, i.e. user-item, user-user and item-item, which provide abundant information for enhan…

IUI '191st AuthorElectrical Muscle Stimulation (EMS) +2

MyoSign: Enabling End-to-End Sign Language Recognition with Wearables

Automatic sign language recognition is an important milestone in facilitating the communication between the deaf community and hearing people. Existing approaches are either intrusive or susceptible to ambient environments and user diversity. Moreover, most of them perform only isolated word recognition, not sentence-…

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