With the acceleration of population aging, the issue of elderly guardianship is becoming a social issue. The primary cause of accidental injuries for the elderly is falls. Therefore, developing a commercially available fell down monitoring product for the elderly will greatly improve their quality of life and care, and achieve both economic and social benefits.
The fell down monitoring technology may be commercially availablecurrently, mainly including the following:
|
Technological solution |
Scheme Description |
Advantage |
Disadvantage |
|
Wearable sensor solution |
Real time monitoring of the body posture status of elderly people is carried out by wearing devices with functions such as acceleration sensors and gyroscope sensors on the human body. After determining that the elderly person is in a falling state, a remote wireless alarm system is used to alarm. |
High accuracy and low cost |
Needs to be worn for a long time, and cannot be monitored after forgetting to wear it |
|
Camera solution |
Based on the image video method, camera captures the moving image of the human body, and determines the human body state after Analysis of algorithms |
High accuracy and low cost |
Easy to disclose user privacy |
|
LiDARsolution |
3D scanning of space is carried out through laser TOF principle, and point cloud Data modeling is carried out for falls, so as to realize fall monitoring |
High accuracy and long coverage distance |
High cost, immature supporting technology, and accuracy affected by strong light interference |
|
Mmwave solution |
3D scanning of space is carried out through mmwave TOF principle and beamforming, and point cloud Data modeling is carried out for falls to realize fall monitoring |
High accuracy, moderate cost, and not affected by lighting environment |
The coverage distance is slightly shorter |
Based on the above analysis, we have chosen the mmwave solution for technical research and development. We adopt the architecture of TI mmwavemodule+wifi RF module:
Main functions of the sample:
1. Fell down monitoring
2. Human presence monitoring
3. Daily behavioral data collection to identify potential health risks of monitored individuals
Sample highlight:
1. 4D mmwave radar imaging
2. xx transmitting and receiving antennas, higher than industry standards (3 Tx+4 RX), for more accurate recognition and judgment of falling posture
3.140 ° ultra wide field of view angle and maximum coverage of 20 square meters, single room, one machine is sufficient
4. Contactless and insensitive monitoring, no need to wear it
And also fully automatic alarm, 7 × 24 hour continuous monitoring, AC power supply, plug in and use, no need for charging, unaffected by water vapor and strong light environment, compact size, supporting wall and top mounting, etc.
Want to know more? GET IN TOUCH WITH US NOW.
