Lei Ma

ORCID: 0009-0000-5729-1484
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About
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Research Areas
  • Non-Invasive Vital Sign Monitoring
  • Social Robot Interaction and HRI
  • IoT and GPS-based Vehicle Safety Systems
  • Gait Recognition and Analysis
  • Advanced SAR Imaging Techniques
  • Transport Systems and Technology
  • Face recognition and analysis
  • Thermoregulation and physiological responses
  • Infrared Thermography in Medicine
  • Emotion and Mood Recognition
  • Ergonomics and Musculoskeletal Disorders

Chengdu Jincheng College
2024

Chengdu Medical College
2024

Changchun University of Science and Technology
2023

Sitting posture is closely related to our health. Poor sitting can cause various diseases and harm physical Current methods detect include machine vision, wearable sensors, pressure sensors. However, these have problems with respect privacy, inconvenience, cost. In this work, we proposed the use of frequency-modulated continuous wave radar (FMCW) for detecting human posture, which employs wireless signal transmission enable non-contact detection, protect reduce costs. First, range fast...

10.1109/access.2023.3312328 article EN cc-by-nc-nd IEEE Access 2023-01-01

Accurately detecting falls and providing clear directions for the fall can greatly assist medical staff in promptly developing rescue plans reducing secondary injuries during transportation to hospital. In order facilitate portability protect people’s privacy, this paper presents a novel method direction motion using FMCW radar. We analyze based on correlation between different states. The range–time (RT) features Doppler–time (DT) of person from state fallen were obtained by analyzed two...

10.3390/s23115031 article EN cc-by Sensors 2023-05-24

With the development of artificial intelligence technology, research hospital ward inspection robots has received strong support from hospitals, improving inspection. This paper designs a multimodal video emotion computing model based on dual buffering mechanism perspective robots. can adjust weight model's voice modality decibel value environment in environment, and recognize emotions patients bimodal manner face, assisting medical staff decision-making. separates face features videos...

10.1109/icaace61206.2024.10548101 article EN 2024-03-01
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