Synchronized Multi-Sensor Data for Physical AI
Synchronized video, IMU, audio, gaze and wearable streams for sensor fusion and multimodal Physical AI pretraining. Define your sensor configuration with Shaip.
Dataset Specifications
| Target Buyer Teams | Multimodal AI Lead; Robotics Data Platform; Sensor Fusion Team; Embodied AI Research |
| Representative Tasks | Daily activities, industrial procedures, movement patterns and multi-step workflows |
| Capture / Modalities | RGB/RGB-D, IMU, audio, gaze, head/hand/body trackers and optional biometrics |
| Annotations / Metadata | Timestamp alignment, activity labels, key steps, device metadata, subject metadata and quality flags |
| Delivery Formats | MP4 + WAV + CSV/Parquet + calibration and time-sync metadata |
| Scale (Illustrative)* | 1,000–8,000 synchronized hours |
| Participants / Operators | 500–3,000 participants |
| Tasks / Scenarios | 50–200 activities |
| Objects / Sites / Views | 4–7 sensor streams |
| Recommended Engagement Scope | 100–300 hours with 3–5 sensors across 10–25 activities |
Shaip's Physical AI program used a five-sensor tracking workflow at scale.
View the related case study →Where This Dataset Is Used
This multimodal human activity dataset is built for teams training sensor fusion models, activity recognition systems and multimodal Physical AI foundations. Robotics companies, wearable device makers and embodied AI labs use it as an RGB-D activity dataset, IMU activity recognition dataset and wearable sensor dataset for cross-modal pretraining, human state estimation and context-aware perception. If you’re sourcing a sensor fusion dataset or multimodal robotics data with synchronized video, IMU, audio, gaze and wearable streams, this dataset provides time-aligned signals ready for multimodal model training.
Request a Sample of the Multi-Sensor Human Activity Dataset
Tell us about the robot product or Physical AI system you’re building and we’ll respond with sample access, specifications and a proposal matched to your task.
"*" indicates required fields
