David Asiain

ORCID: 0000-0003-3618-4940
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About
Contact & Profiles
Research Areas
  • Sensor Technology and Measurement Systems
  • Advanced MEMS and NEMS Technologies
  • Advanced Sensor Technologies Research
  • Emotion and Mood Recognition
  • Advanced Fiber Optic Sensors
  • Total Knee Arthroplasty Outcomes
  • EEG and Brain-Computer Interfaces
  • Non-Destructive Testing Techniques
  • Advanced Measurement and Metrology Techniques
  • Non-Invasive Vital Sign Monitoring
  • Bone fractures and treatments
  • IoT and GPS-based Vehicle Safety Systems
  • Mind wandering and attention
  • Bluetooth and Wireless Communication Technologies
  • Knee injuries and reconstruction techniques
  • Sleep and Work-Related Fatigue
  • Inertial Sensor and Navigation
  • IoT Networks and Protocols

Universidad de Zaragoza
2023-2025

The application of MEMS capacitive accelerometers is limited by its thermal dependence, and each accelerometer must be individually calibrated to improve performance. In this work, a light calibration method based on theoretical studies proposed obtain two characteristic parameters the sensor’s operation: temperature drift bias scale factor. This requires less data parameters, allowing faster calibration. Furthermore, using an equation with fewer reduces computational cost compensation....

10.3390/s21093117 article EN Sensors 2021-04-30

This paper presents a wireless traffic flow detection system, mainly focused on conditions in which the is slow or stopped, increases risk of highway accidents. To achieve this goal, Low Power Wide Area Network (LPWAN) based LoRa called Short has been developed. sub-network complies with European Telecommunications Standards Institute (ETSI) harmonized standard for its compatibility Europe countries. In addition, development devices allowed them to also work LoRaWAN network. The introduced...

10.3390/s21020338 article EN cc-by Sensors 2021-01-06

Capacitive MEMS accelerometers have a high thermal sensitivity that drifts the output when subjected to changes in temperature. To improve their performance applications with variations, it is necessary compensate for these effects. These can be compensated using lightweight algorithm by knowing characteristic parameters of accelerometer (Temperature Drift Bias and Temperature Scale Factor). vary each axis, making an individual calibration necessary. In this work, simple fast method allows...

10.3390/mi13040584 article EN cc-by Micromachines 2022-04-08

This paper presents a new physiological signal acquisition multi-sensory platform for emotion detection: Multi-sensor Wearable Headband (MsWH). The system is capable of recording and analyzing five different signals: skin temperature, blood oxygen saturation, heart rate (and its variation), movement/position the user (more specifically his/her head) electrodermal activity/bioimpedance. measurement complemented by porthole camera positioned in such way that viewing area remains constant....

10.3390/s22155775 article EN cc-by Sensors 2022-08-02

The recognition of learners' emotions, in particular boredom, is a topic great interest the context e-learning, especially with recent increase distance education courses. This paper proposes multimodal framework that integrates an emotion capture system (MsWH), along commercial hardware and software (Muse2 Empatica E4), to detect recognize boredom college students while viewing videos. proposed has been applied experiment following protocol defined as part work. As first results, useful...

10.1145/3612783.3612811 article EN 2023-09-04

Capacitive MEMS accelerometers have a high thermal sensitivity that drifts the output when subjected to changes in temperature. To improve their performance applications with variations, it is necessary compensate for these effects. These can be compensated using lightweight algorithm by knowing characteristic parameters of accelerometer (Temperature Drift Bias and Temperature Scale Factor). vary each axis, making an individual calibration necessary. In this work, simple fast method allows...

10.3390/ecsa-8-11299 article EN cc-by 2021-11-01

This work presents an analysis of performance and multiple parameters MEMS capacitive accelerometers in applications with large thermal variations the effects soldering process on them. The proposed test consists a characterization phase performed between two mechanical calibrations. is units before after process. Mechanical, thermal, are analyzed compared among all tests. ranges relative these characteristics, both during tests, have been identified characterized individually. Mechanical...

10.1109/jsen.2023.3321238 article EN cc-by IEEE Sensors Journal 2023-10-06
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