blob: a78bbc5c942cc2a8807de76902fa51e964ea5f93 (
plain)
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
|
/*
* Copyright (C) 2019 The Android Open Source Project
*
* 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.
*/
#define LOG_TAG "InputClassifierHAL"
#include "InputClassifier.h"
#include <inttypes.h>
#include <log/log.h>
#include <utils/Timers.h>
using namespace android::hardware::input::common::V1_0;
namespace android {
namespace hardware {
namespace input {
namespace classifier {
namespace V1_0 {
namespace implementation {
// Methods from ::android::hardware::input::classifier::V1_0::IInputClassifier follow.
Return<Classification> InputClassifier::classify(const MotionEvent& event) {
/**
* In this example implementation, we will see how many "pixels" inside the video frame
* exceed the value of 250. If more than 6 such pixels are present, then treat the event
* as a "DEEP_PRESS".
*/
if (event.frames.size() == 0) {
return Classification::NONE;
}
ALOGI("Frame(O) timestamp = %" PRIu64 ", received %zu frame(s)", event.frames[0].timestamp,
event.frames.size());
for (const VideoFrame& frame : event.frames) {
size_t count = 0;
for (size_t i = 0; i < frame.data.size(); i++) {
if (frame.data[i] > 250) {
count++;
}
}
if (count > 6) {
return Classification::DEEP_PRESS;
}
}
return Classification::NONE;
}
Return<void> InputClassifier::reset() {
// We don't have any internal state in this example implementation,
// so no work needed here.
return Void();
}
Return<void> InputClassifier::resetDevice(int32_t /*deviceId*/) {
// We don't have any internal per-device state in this example implementation,
// so no work needed here.
return Void();
}
} // namespace implementation
} // namespace V1_0
} // namespace classifier
} // namespace input
} // namespace hardware
} // namespace android
|
