Dataset profile
UTD-MHAD
UTD-MHAD contains actions captured with Kinect and wearable inertial sensing. It is not healthcare-specific, but includes movement classes such as sit-to-stand, stand-to-sit, lunges, and squats relevant to movement understanding.
Overview
UTD-MHAD contains actions captured with Kinect and wearable inertial sensing. It is not healthcare-specific, but includes movement classes such as sit-to-stand, stand-to-sit, lunges, and squats relevant to movement understanding.
What's included
- RGB and depth videos
- Skeleton joint positions
- Wearable inertial signals
Tasks / activities
Modalities
Collection methodology
Eight subjects repeated defined actions while a Kinect sensor and wearable inertial sensor recorded synchronized modalities.
Potential applications
- Human activity recognition
- Movement transition modeling
- Skeleton and inertial fusion
- Rehabilitation-adjacent action benchmarks
Access & licensing
This is a third-party public/research dataset. We do not own or distribute this dataset. Access and usage are governed by the original publisher's terms.
Access and use are governed by the original UTD-MHAD publisher terms.
Limitations / opportunities for custom data
Custom healthcare collection can add care tasks, professional roles, assisted mobility, and richer environmental context.
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