MetaPhys: Contactless Physiological Sensing of Multiple Subjects Using RIS-Based 4-D Radar

Li, Zhi; Jin, Tian; Guan, Dong‐Fang; Xu, Hantao

doi:10.1109/jiot.2023.3252587

Cited by 12 publications

(1 citation statement)

References 36 publications

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“…The acceleration sensors and attached electrodes are uncomfortable for wearing. Non-contact sleep monitoring sensors mainly include microphone sensors, wireless fidelity (WIFI)-based sensors, camera-based sensors, and radar sensors 1,6 . Microphone sensors and camera-based sensors both suffer the privacy issues 1 .…”

Section: Introductionmentioning

confidence: 99%

Human presence detection based on combination of long- and short-term micro-motion features using millimeter wave radar

Lu,

Lv,

Yang

2024

Fifteenth International Conference on Signal Processing Systems (ICSPS 2023)

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This paper proposes a human presence detection method based on the combination of long and short-term micro-motion features using milli-meter wave (MMW) radar. It can be divided into three parts: potential moving target detection, micromotion parameters estimation, and multi-timescale integrated human presence detection. For the first part, we used the constant false alarm rate (CFAR) detector to detect potential moving targets. For the second part, we estimated the micromotion parameters, such as target status, respiratory rate, body movement index, and target location. For the third part, we extracted the long-term and short-term micro-motion features related to the above obtained parameters by considering different cases of human activities. Then, we perform human and interference recognition based on the above features. Finally, a large number of experiments, considering 11 situations under natural wind or fan blowing curtains, bed curtains, mosquito nets moving, and fan rotation, are conducted. Compared with the traditional CFAR detector, the proposed method can significantly improve the detection of human presence under conditions of interference in sleeping scenarios.

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Section: Introductionmentioning

confidence: 99%

Human presence detection based on combination of long- and short-term micro-motion features using millimeter wave radar

Lu,

Lv,

Yang

2024

Fifteenth International Conference on Signal Processing Systems (ICSPS 2023)

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Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects

Khan,

Xu,

Liu

et al. 2024

Multimedia Systems

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In recent years, emotion recognition has received significant attention, presenting a plethora of opportunities for application in diverse fields such as human–computer interaction, psychology, and neuroscience, to name a few. Although unimodal emotion recognition methods offer certain benefits, they have limited ability to encompass the full spectrum of human emotional expression. In contrast, Multimodal Emotion Recognition (MER) delivers a more holistic and detailed insight into an individual's emotional state. However, existing multimodal data collection approaches utilizing contact-based devices hinder the effective deployment of this technology. We address this issue by examining the potential of contactless data collection techniques for MER. In our tertiary review study, we highlight the unaddressed gaps in the existing body of literature on MER. Through our rigorous analysis of MER studies, we identify the modalities, specific cues, open datasets with contactless cues, and unique modality combinations. This further leads us to the formulation of a comparative schema for mapping the MER requirements of a given scenario to a specific modality combination. Subsequently, we discuss the implementation of Contactless Multimodal Emotion Recognition (CMER) systems in diverse use cases with the help of the comparative schema which serves as an evaluation blueprint. Furthermore, this paper also explores ethical and privacy considerations concerning the employment of contactless MER and proposes the key principles for addressing ethical and privacy concerns. The paper further investigates the current challenges and future prospects in the field, offering recommendations for future research and development in CMER. Our study serves as a resource for researchers and practitioners in the field of emotion recognition, as well as those intrigued by the broader outcomes of this rapidly progressing technology.

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Joint beamforming design for STAR-RIS-assisted integrated sensing, communication, and power transfer systems

Huang,

Zhang,

et al. 2025

Digital Signal Processing

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MetaPhys: Contactless Physiological Sensing of Multiple Subjects Using RIS-Based 4-D Radar

Cited by 12 publications

References 36 publications

Human presence detection based on combination of long- and short-term micro-motion features using millimeter wave radar

Human presence detection based on combination of long- and short-term micro-motion features using millimeter wave radar

Exploring contactless techniques in multimodal emotion recognition: insights into diverse applications, challenges, solutions, and prospects

Joint beamforming design for STAR-RIS-assisted integrated sensing, communication, and power transfer systems

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