| /* |
| * Copyright 2019 The TensorFlow Authors. All Rights Reserved. |
| * |
| * Licensed under the Apache License, Version 2.0 (the "License"); |
| * you may not use this file except in compliance with the License. |
| * You may obtain a copy of the License at |
| * |
| * http://www.apache.org/licenses/LICENSE-2.0 |
| * |
| * Unless required by applicable law or agreed to in writing, software |
| * distributed under the License is distributed on an "AS IS" BASIS, |
| * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. |
| * See the License for the specific language governing permissions and |
| * limitations under the License. |
| */ |
| |
| #ifndef TENSORFLOW_LITE_MICRO_EXAMPLES_MAGIC_WAND_CONSTANTS_H_ |
| #define TENSORFLOW_LITE_MICRO_EXAMPLES_MAGIC_WAND_CONSTANTS_H_ |
| |
| /* The expected accelerometer data sample frequency */ |
| const float kTargetHz = 25; |
| |
| /* What gestures are supported. */ |
| constexpr int kGestureCount = 4; |
| constexpr int kWingGesture = 0; |
| constexpr int kRingGesture = 1; |
| constexpr int kSlopeGesture = 2; |
| constexpr int kNoGesture = 3; |
| |
| /* These control the sensitivity of the detection algorithm. If you're seeing |
| * too many false positives or not enough true positives, you can try tweaking |
| * these thresholds. Often, increasing the size of the training set will give |
| * more robust results though, so consider retraining if you are seeing poor |
| * predictions. |
| */ |
| constexpr float kDetectionThreshold = 0.8f; |
| constexpr int kPredictionHistoryLength = 5; |
| constexpr int kPredictionSuppressionDuration = 25; |
| |
| #endif /* TENSORFLOW_LITE_MICRO_EXAMPLES_MAGIC_WAND_CONSTANTS_H_ */ |
