mmWave Radar Sensor Data Collection Session 2
1. Overview
Project Name: mmWave Radar Sensor
Data Collection Session: 2nd Session
Date: Thu 30 Jan
Location: PHYS BLDG G42 POWELL
2. Purpose and Scope
This session aims to collect radar data of participants performing three distinct activities (standing, sitting, lying down) for 5 minutes each, to support the development and validation of posture recognition algorithms using mmWave radar.
3. Setup
- Sensor Information:
- mmWave Sensor Model: IWRL6432
- Sensor Orientation and Position: 10 degree toward floor (Check other details at DataCollection)
- Height of radar board (above ground): 167 cm
-
Distance from Participant: 300 cm
- Data Storage & File Naming Convention:
- Radar Data:
results_[Activity]_[Name]_[Time].csv
- Radar Data:
4. Participant Details
| Participant | Height (Range) |
|---|---|
| Ed | 6ft |
| Emmanuel | 5ft 8in |
| Faik | 5ft 8in |
| Eddie | 6ft |
| Dylan | 5ft 8in |
| Luke | 5ft 8in |
5. Activity Log
Record each activity with precise start/end times, duration, and file names. Each activity should last approximately 5 minutes.
| Participant ID | Activity | Start Time | End Time | Duration (mins) | Radar File Name | Notes |
|---|---|---|---|---|---|---|
| Ed P001 | Standing | 14:27 | 14:32 | 5 | results_STANDING_ED_142716.csv | Facing sensor directly |
| Ed | Sitting | 14:32 | 14:37 | 5 | results_SITTING_ED_143105.csv | Sitting on a standard office chair |
| Ed | Lying Down | 14:37 | 14:42 | 5 | results_LYING_ED_143705.csv | Lying on back on the floor |
| Luke P002 | Standing | 14:43 | 14:48 | 5 | results_STANDING_LUKE_144431.csv | |
| Luke | Sitting | 14:48 | 14:53 | 5 | results_SITTING_LUKE_144822.csv | |
| Luke | Lying Down | 14:53 | 14:58 | 5 | results_LYING_LUKE_145157.csv | |
| Dylan P003 | Standing | 14:59 | 15:04 | 5 | results_STANDING_DYLAN_150919.csv | |
| Dylan | Sitting | 15:04 | 15:09 | 5 | results_SITTING_DYLAN_151305.csv | |
| Dylan | Lying Down | 15:09 | 15:14 | 5 | results_LYING_DYLAN_151650.csv | |
| Emmanuel P004 | Standing | 15:15 | 15:20 | 5 | results_STANDING_EMMANUEL_152058.csv | |
| Emmanuel | Sitting | 15:20 | 15:25 | 5 | results_SITTING_EMMANUEL_152430.csv | |
| Emmanuel | Lying Down | 15:25 | 15:30 | 5 | results_LYING_EMMANUEL_152808.csv | |
| Faik P005 | Standing | 15:31 | 15:36 | 5 | results_STANDING_FAIK_145725.csv | |
| Faik | Sitting | 15:36 | 15:41 | 5 | results_SITTING_FAK_150105.csv | |
| Faik | Lying Down | 15:41 | 15:46 | 5 | results_LYING_FAK_150455.csv | |
| Eddie P006 | Standing | 15:47 | 15:52 | 5 | results_STANDING_EDDIE_153350.csv | |
| Eddie | Sitting | 15:52 | 15:57 | 5 | results_SITTING_EDDIE_153741.csv | |
| Eddie | Lying Down | 15:57 | 16:02 | 5 | results_LAYING_EDDIE_154112.csv |
6. Procedure
- Preparation:
- Ensure the environment is free of unnecessary movement, noise, and obstacles.
- Verify mmWave radar sensor calibration (if applicable).
- Confirm camera setup (focus, angle, and lighting).
- Data Collection:
- Each participant performs the following activities for 3 minutes each: Standing, Sitting, Lying Down.
- Record radar data and video simultaneously.
- Save data files with the appropriate naming convention.
- Post-Collection Tasks:
- Immediately back up recorded data to a secure location.
- Perform a quick quality check (e.g., confirm file sizes, watch sample video segments, review radar logs).
- Document any deviations from the planned procedure.
7. Observations & Deviations
Use this section to note anything unusual or noteworthy during data collection:
- Sensor Issues: (e.g., unexpected noise, data dropouts, error messages)
- Participant Behavior: (e.g., slight movement, fidgeting, posture adjustments)
- Environmental Factors: (e.g., changes in lighting or temperature, background noise)
- Protocol Deviations: (e.g., shorter/longer recording due to interruptions, sensor malfunction, etc.)
8. Data Quality Check
- Initial Observations: (Any obvious anomalies in radar or video data?)
- Action Items:
- Verify all files are labeled correctly and consistently.
- Confirm each activity was recorded for the full duration.
- Ensure all data is securely stored (local and/or cloud).
9. Next Steps
Outline subsequent actions or follow-up tasks:
- Data Preprocessing: (e.g., synchronization of radar and video timestamps, noise filtering)
- Analysis Plan: (e.g., feature extraction, machine learning model training)
- Further Data Collection: (e.g., additional participants, different environments, extended tasks)