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Millimeter wave (mmWave) sensing is a non-contact system of using mmWave radar sensors to measure movement, acceleration, and angles as small as a fraction of a millimeter.[1] This system requires a mmWave radar sensor to transmit and receive pulses of millimeter electromagnetic wave energy, detecting targets and motion from the reflections it receives back.[2] Additional components such as converters, signal processors and other embedded technologies create new use cases and improve performance of the system.[3] Current applications for this technology include human and animal movement tracking, human presence detection, and detection of vital signs for use across automotive, meteorological, medical and pet health industries and is often an alternative to wearable-based technologies for the same uses.[4]
Compared to sensing technologies using other radio frequencies in the electromagnetic spectrum such as infrared or ultra-wideband, mmWave uses 30 to 300 gigahertz (GHz). Typical mmWave sensors use the 24-, 60- and 77-GHz band each with their own benefits for specific applications.[5]
Applications
editAutomotive
editmmWave sensing can be used inside vehicles to improve driver and passenger safety and comfort functions.[6] Notable advantages of using mmWave technology in vehicles revolve around its capability to operate effectively in spaces with low-lighting and limited visibility. mmWave sensing can penetrate materials like plastic, textiles, and glass, making it a contactless.[7]
Recent applications for automotive mmWave sensing include:
- Occupancy detection
- Child presence detection (CPD) [8]
- Seatbelt reminders
- Optimized airbag deployment
- Monitoring of driver vital signs[9]
Assisted Living and Elderly Care
editmmWave sensing can be used in homes and nursing homes to assist seniors, individuals aging in place, and caregivers. Using mmWave technology is non-intrusive as it does not use cameras or microphones for its applications, and does not require patients to use wearable devices for tracking.
Use-cases in assisted living and elderly care include:
- Fall detection
- Posture detection
- Occupancy detection
- Vital signs monitoring[10]
Smart Home
editIntegrated within applications for presence and occupancy detection, mmWave sensing can be applied to the smart home to enable home automations without requiring wearable technology or cameras. Applications include:
Other
editOther applications for mmWave sensing include pet monitoring, where the technology can be used to track and monitor animal vital signs to interpret pet emotions.[14]
References
edit- ^ "mmWave radar sensors | TI.com". www.ti.com. Retrieved 2023-11-08.
- ^ "MmWave Radar Applications and Advantages". resources.system-analysis.cadence.com. Retrieved 2023-11-08.
- ^ "mmWave radar sensors | TI.com". www.ti.com. Retrieved 2023-11-08.
- ^ Zeng, Yunze; Pathak, Parth H.; Yang, Zhicheng; Mohapatra, Prasant (2016). "Poster Abstract: Human Tracking and Activity Monitoring Using 60 GHZ mmWave". 2016 15th ACM/IEEE International Conference on Information Processing in Sensor Networks (IPSN). pp. 1–2. doi:10.1109/IPSN.2016.7460704. ISBN 978-1-5090-0802-5. S2CID 14106463. Retrieved 2023-11-08.
- ^ Liu, Hanling; Miao, Miao; Huang, Suying; Luo, Yunlong; Qi, Alex; Qi, Yihong; Ma, Jianhua (2021). "A Perspective on Pet Emotion Monitoring Using Millimeter Wave Radar". 2021 13th International Symposium on Antennas, Propagation and EM Theory (ISAPE). pp. 1–3. doi:10.1109/ISAPE54070.2021.9753337. ISBN 978-1-6654-1812-6. S2CID 248249335. Retrieved 2023-11-08.
- ^ "Detecting vehicle occupancy with mmWave sensors - Automotive - Technical articles - TI E2E support forums". e2e.ti.com. 2018-04-30. Retrieved 2023-11-08.
- ^ "Detecting vehicle occupancy with mmWave sensors - Automotive - Technical articles - TI E2E support forums". e2e.ti.com. 2018-04-30. Retrieved 2023-11-08.
- ^ AG, Infineon Technologies. "60 GHz Radar Sensor for Occupant Monitoring (OMS) - Infineon Technologies". www.infineon.com. Retrieved 2024-05-10.
- ^ "Millimeter Wave Radar System Keeps Drivers Safe on the Road - IEEE Spectrum". IEEE. Retrieved 2023-11-08.
- ^ Iyer, Srikrishna; Zhao, Leo; Mohan, Manoj Prabhakar; Jimeno, Joe; Siyal, Mohammed Yakoob; Alphones, Arokiaswami; Karim, Muhammad Faeyz (2022-04-19). "mm-Wave Radar-Based Vital Signs Monitoring and Arrhythmia Detection Using Machine Learning". Sensors (Basel, Switzerland). 22 (9): 3106. Bibcode:2022Senso..22.3106I. doi:10.3390/s22093106. ISSN 1424-8220. PMC 9104941. PMID 35590796.
- ^ Yang, Yang; Chi, Lidong; Luo, Yunlong; Qi, Alex; Miao, Miao; Qi, Yihong (2021). "Antenna Design of Millimeter Wave Radar for Smart Toilet". 2021 13th International Symposium on Antennas, Propagation and EM Theory (ISAPE). pp. 1–3. doi:10.1109/ISAPE54070.2021.9752979. ISBN 978-1-6654-1812-6. S2CID 248258584. Retrieved 2023-11-08.
- ^ Chen, Fu-Kuei; Wang, You-Kwang; Lin, Hsin-Piao; Chen, Chien-Yu; Yeh, Shu-Ming; Wang, Ching-Yu (2022). "Feasibility Study for Apnea Screening in Patients' Homes Using Radar and Machine Learning Method". 2022 IEEE 22nd International Conference on Bioinformatics and Bioengineering (BIBE). pp. 282–287. doi:10.1109/BIBE55377.2022.00065. ISBN 978-1-6654-8487-9. S2CID 254640679. Retrieved 2023-11-08.
- ^ "Radar vs. PIR for lighting control". NOVELIC. Retrieved 2024-05-10.
- ^ Liu, Hanling; Miao, Miao; Huang, Suying; Luo, Yunlong; Qi, Alex; Qi, Yihong; Ma, Jianhua (2021). "A Perspective on Pet Emotion Monitoring Using Millimeter Wave Radar". 2021 13th International Symposium on Antennas, Propagation and EM Theory (ISAPE). pp. 1–3. doi:10.1109/ISAPE54070.2021.9753337. ISBN 978-1-6654-1812-6. S2CID 248249335. Retrieved 2023-11-08.