Functional Test Report of DFRobot C1001 mmWave Sensor (Fall Detection and Sleep Quality)

We are excited to present the DFRobot C1001 mmWave Human Detection Sensor, a high-accuracy 60GHz millimeter-wave radar designed for fall detection and sleep monitoring. This sensor is compatible with Arduino, ESP32, and micro:bit development boards, ensuring flexibility in various applications.

In this report, we meticulously test and analyze the sensor's key functionalities, including Fall Detection, Sleep Detection, Presence Detection Distance, Breathing Rate Detection, Heart Rate Detection, Motion Detection Range, Top-Mounted Motion Detection Range, and Body Movement Parameter Detection.

These tests are crucial for understanding the sensor’s accuracy and reliability. Whether you are integrating it into a fall detection system, sleep monitoring system, or other applications, this report provides all the necessary information to make informed decisions about incorporating the C1001 sensor into your home security and health systems.

Fall Detection Function Test

Test Method: The sensor was set to fall detection mode with a top installation at a height of 270 cm. The test subject quickly lay down within the detection range to verify if the sensor could accurately detect the fall. The fall detection range was marked with tape.

Test Pictures:

Figure. Fall Detection using the mmWave Human Detection Sensor

Figure. Fall Detection Range of the mmWave Human Detection Sensor

Test Results: The sensor successfully detected the fall. Upon detection, the on-board fall state indicator light turned on. Once the test subject stood up, the light turned off. At an installation height of 2.7 meters, the fall detection range formed a circle with a diameter of approximately 4 meters.

Summary and Suggestions:

The C1001 sensor effectively detects falls within a 4-meter range when installed at a height of 2.7 meters. This makes it suitable for monitoring the elderly or individuals at risk of falls in various settings such as homes. For optimal performance, ensure the sensor is installed at the recommended height and within a clear detection area.

Sleep Detection Function Test

Test Method: The sensor was installed as shown in the diagram below. The test subject slept normally while a camera recorded video footage next to the bed. The sensor's output data was compared with the video data to assess the accuracy of the sleep information detection.

Figure. Installation Diagram and Test Video of C1001 mmWave Human Detection Sensor for Sleep Detection

Test Pictures:

Figure. C1001 mmWave Human Detection Sensor Detects Light Sleep

Figure. C1001 mmWave Human Detection Sensor Detects Leaving Bed

Figure. C1001 mmWave Human Detection Sensor Outputs Sleep Statistics After Leaving Bed

Test Results: The sensor's output closely matched the video data, accurately detecting bed entry, leaving the bed, and various sleep states. After the test subject left the bed, the sensor provided detailed sleep statistics.

Summary and Suggestions: The sensor provides accurate detection of bed entry, leaving the bed, and sleep states, closely matching the video data. This feature is particularly useful for sleep monitoring systems, helping track sleep patterns and disturbances. For accurate results, ensure the sensor is positioned correctly as per the installation diagram.

Presence Detection Distance Test

Test Method: The sensor was set to sleep detection mode. The test subject sat quietly in front of the sensor to determine the maximum distance at which the sensor could detect a stationary human body.

Test Tools: Ruler, Laptop, FireBeetle Development Board

Test Pictures:

Figure. Information Output of the Presence Detection Distance of the C1001 mmWave Human Detection Sensor

Figure. Presence Detection Distance of the C1001 mmWave Human Detection Sensor

Test Results: The maximum detection distance for presence is 4 meters.

Summary and Suggestions: The sensor can detect a stationary human body up to 4 meters away, making it ideal for presence detection in security systems or automated lighting controls. Ensure the sensor is placed within the specified range for reliable detection.

Body Movement Parameter Detection Test

Test Method: The sensor was set to fall detection mode and installed at the top. The test subject sat quietly under the sensor, then walked and ran to observe the variations in the sensor’s body movement parameters.

Test Pictures:

Figure. Information Output of the Body Movement Parameter Detection of the mmWave Human Detection Sensor

Figure. Body Movement Parameter Detection of the C1001 mmWave Human Detection Sensor

Test Results: When the subject sat quietly under the sensor, the body movement parameter was 1. During walking, the parameter ranged from 2 to 60. While running, it ranged from 16 to 100. These readings effectively display the subject's movement state.

Summary and Suggestions: The sensor accurately reflects different movement states, with body movement parameters varying with activity level. This can be useful in fitness tracking or monitoring daily activities in health applications. Proper calibration is recommended to ensure accurate movement tracking.

Breathing Rate Detection Test

Test Method: The sensor was set to sleep detection mode and placed 1.5 meters in front of the test subject, directly facing their chest. The test subject followed different breathing frequencies dictated by a metronome to verify the accuracy of the sensor’s breathing rate detection.

Test Tools: Laptop, FireBeetle Development Board, Electronic Metronome.

Test Data:

Figure. Information Output of the Breathing Rate Detection of the C1001 mmWave Human Detection Sensor

Figure. Breathing Rate Detection of the C1001 mmWave Human Detection Sensor

Test Results: The sensor's detected breathing rates closely match the actual breathing rates, demonstrating good accuracy.

Summary and Suggestions: The sensor’s breathing rate detection closely matches the actual rates, indicating good accuracy. This feature is valuable for health monitoring systems, providing insights into respiratory health. Ensure the sensor is placed at the specified distance and directly facing the chest for best results.

Caution: This product is not a professional medical device and should not be used as an auxiliary accessory for diagnosis and treatment.

Heart Rate Detection Test

Test Method: The sensor was set to sleep detection mode and positioned 1.5 meters in front of the test subject, directly facing their chest. The accuracy of the sensor’s heart rate detection was verified by comparing its data with readings from a motion bracelet and pulse wave detection, recorded simultaneously.

Test Tools: Laptop, FireBeetle Development Board, Sports Bracelet

Test Data:

Figure. Information Output of the Heart Rate Detection of the C1001 mmWave Human Detection Sensor

Figure. Heart Rate Detection of the C1001 mmWave Human Detection Sensor

Summary and Suggestions: The sensor provides consistent heart rate readings, comparable with other monitoring devices. This makes it useful for basic heart rate monitoring in non-medical applications. As with breathing rate detection, proper sensor placement is crucial for accurate data.

Caution: This product is not a professional medical device and cannot be used as an auxiliary accessory for diagnosis and treatment.

Furthest Motion Detection Distance Test

Test Method: The sensor was set to sleep detection mode. A person moved actively in front of the sensor to determine the maximum distance at which the sensor could detect motion.

Test Tools: Ruler, Laptop, FireBeetle Development Board

Test Pictures:

Figure. Information Output of the Furthest Detection Distance of the C1001 mmWave Human Detection Sensor

Figure. Furthest Detection Distance of the C1001 mmWave Human Detection Sensor

Test Results: The maximum distance at which the sensor could detect motion was found to be 11 meters. When the sensor detects motion, the on-board HP LED lights up (this LED indicator can be turned off via command), and the IO1 pin outputs a 3.3V high level.

Summary and Suggestions: The sensor detects motion up to 11 meters away, suitable for large area monitoring in security or automation systems. Adjust the sensor placement and settings to fit the specific environment and detection needs.

Top-Mounted Motion Detection Range Test

Test Method: The sensor was set to fall detection mode and installed at a height of 2.7 meters. A person walked around the edge of the sensor's detection area to determine the maximum range of motion detection, and the perimeter was marked with tape.

Test Tools: Laptop, FireBeetle Development Board, Tape

Test Pictures:

Figure. Top-Mounted Motion Detection Range of the mmWave Human Detection Sensor

Test Results: The motion detection range for the sensor installed at a height of 2.7 meters is approximately a 7-meter radius circle. The detection angle, calculated using inverse trigonometric functions, is approximately 100°.

Summary and Suggestions: With a top-mounted installation, the sensor covers a 7-meter radius with a 100° detection angle. This broad coverage is beneficial for overhead monitoring in large spaces. Ensure the installation height and angle are optimized for maximum coverage.

Conclusion

The extensive testing of the C1001 mmWave Human Detection Sensor has demonstrated its robust performance and versatility across multiple applications. Our detailed evaluations highlight the following key findings:

• Fall Detection: The sensor effectively identifies falls with a detection range of approximately 4 meters when mounted at a height of 2.7 meters. It successfully signals fall incidents with an onboard indicator, ensuring timely alerts for safety and emergency responses.
• Sleep Detection: The sensor provides accurate sleep monitoring by detecting bed entry, sleep stages, and bed exits. The alignment with video data confirms its capability to track and analyze sleep patterns, offering valuable insights into sleep quality.
• Presence Detection Distance: The maximum detection distance for stationary presence is 4 meters, proving the sensor's effectiveness in detecting human presence within this range.
• Breathing Rate Detection: The sensor's breathing rate measurements are consistent with actual values, confirming its accuracy in monitoring respiratory rates from a distance of 1.5 meters.
• Heart Rate Detection: While the sensor's heart rate readings show some variance compared to other devices, it provides a reliable approximation, demonstrating its utility in health monitoring applications.
• Motion Detection Range: The sensor detects motion up to 11 meters away, effectively covering a broad area for motion sensing.
• Top-Mounted Motion Detection Range: Installed at a height of 2.7 meters, the sensor’s motion detection range extends to approximately 7 meters in diameter, covering a substantial area from a ceiling-mounted position.
• Body Movement Parameter Detection: The sensor accurately reflects different levels of body movement, from sitting quietly to running, making it useful for detailed movement analysis.