ZTE Communications ›› 2021, Vol. 19 ›› Issue (3): 22-29.doi: 10.12142/ZTECOM.202103004
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LIU Haipeng(), ZHANG Xingyue, ZHOU Anfu, LIU Liang, MA Huadong
Received:
2021-06-10
Online:
2021-09-25
Published:
2021-10-11
About author:
LIU Haipeng (Supported by:
LIU Haipeng, ZHANG Xingyue, ZHOU Anfu, LIU Liang, MA Huadong. Indoor Environment and Human Sensing via Millimeter Wave Radio: A Review[J]. ZTE Communications, 2021, 19(3): 22-29.
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Table 1
Comparison of the state-of-the-art works on sensing static indoor environment"
Citation | Usage | Technology | Method |
---|---|---|---|
JADE | Position the client | An iterative algorithm | Both phase and RSS |
CLAM | Map the environment | A distributed localization algorithm | Both phase and RSS |
E-Mi | Boost the indoor network | A multi-path analysis framework | Both phase and RSS |
Beam-Forcast | Improve the mobile links | Reverse engineering of E-Mi | Both phase and RSS |
RSA | Position object & identify materials | Move Rx along trajectory while collecting | Only RSS |
Ulysses | Image environment | Bind Tx & Rx together to collect reflection signals | Only RSS |
RadarCat | Identify plenty of materials | Classification by learning on the radar signals | Only RSS |
mmRanger | Sense environment | Automatically collect signals | RSS with a robot |
miDroid | Improve mobile links | Set a network relay piggybacked on the robot | RSS with a robot |
Table 2
Comparison of the state-of-the-art works on sensing dynamic human movements"
Citation | Usage | Equipment | Technology | Whether AI |
---|---|---|---|---|
Deep-soli | Gesture recognition | Soli | Range-Doppler images | Customized CNN |
Ubi-soli | Gesture recognition | Soli | Multiple abstract representations | Random forest |
HCI | Vehicular gesture recognition | Soli | Several physical features | Random forest |
MengZhenGait | Identify different users | TI-IWR1443&6843 | Three spatial features | MmGaitNet |
MmVital | Monitor vital signs | Horn antennas | Extract periodic changes | No |
MTrack | Track a vertical finger | Horn antennas | Combine target’s angle and phase change | No |
MmSense | Multi-human detection | Free | Features of 60 GHz signal | No |
MID | Gesture recognition | Free | MmWave sensing | No |
LowCostGes | Detect gesture | RIC60a | Extract power profile and AoA | No |
MmASL | Home-assistant system | Free | Features of 60 GHz signal | No |
MHomeGes | Smart home-usage | TI-IWR1443 | MmWave sensing | No |
MTranseSee | User recognition | Free | MmWave radar | No |
Pantomime | Gesture recognition | Pantomime | MmWave sensing | No |
MmMesh | Human mesh construction | Free | Deep learning framework | No |
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