| Model Type | Time Series Classification |
|---|---|
| Framework | AI Edge LiteRT, OpenVINO |
| Algorithm | Fully Connected Neural Network |
| Technical Details | Processes streaming accelerometer and gyroscope data to classify user activity using a lightweight neural network. Designed for mobile and wearable inference. |
Fitness Tracker – Time Series Classification
Classifies physical activities in real time from wearable motion sensor data.
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Fitness Tracker – Time Series Classification
app details
Resources
Use Cases
Time Series
Performance Benchmark
Hardware · Backend
Processing unit
Latency (ms)
Avg. Peak RAM
NXP i.MX 8M Plus · AiEdgeLiteRT
NPU
0.4 ms
118.1 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
GPU
0.4 ms
118 MB
NXP i.MX 8M Plus · AiEdgeLiteRT
CPU
0.1 ms
134.5 MB
Intel Tiger Lake · OpenVINO
GPU
1 ms
979.6 MB
Intel Tiger Lake · OpenVINO
CPU
0.4 ms
980.8 MB
Intel Tiger Lake · AiEdgeLiteRT
CPU
0.1 ms
131 MB
Qualcomm QCS6490 · AiEdgeLiteRT
NPU
0.2 ms
122.6 MB
Qualcomm QCS6490 · AiEdgeLiteRT
CPU
0.2 ms
137.3 MB
MediaTek Genio 510 · AiEdgeLiteRT
CPU
0.2 ms
133.7 MB
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