在最近的 Google Play 服务更新中,有人对 Activity Recognition API 有疑问吗?
我在一个应用程序中实现了它。在 5.0 更新之前它工作得非常好。现在它会IN_VEHICLE
在用户走路或坐着不动时返回。:/
并且不返回WALKING
,RUNNING
或者根本不返回ON_FOOT
。
我应该注意的 Activity Recognition API 是否有任何更改?
如果您需要更多详细信息,请告诉我。
在最近的 Google Play 服务更新中,有人对 Activity Recognition API 有疑问吗?
我在一个应用程序中实现了它。在 5.0 更新之前它工作得非常好。现在它会IN_VEHICLE
在用户走路或坐着不动时返回。:/
并且不返回WALKING
,RUNNING
或者根本不返回ON_FOOT
。
我应该注意的 Activity Recognition API 是否有任何更改?
如果您需要更多详细信息,请告诉我。
WALKING
和RUNNING
活动作为列表 ( ActivityRecognitionResult.getProbableActivities()
)中的辅助活动出现,您需要将它们解析出来。
// Get the update
ActivityRecognitionResult result = ActivityRecognitionResult.extractResult(intent);
// Get the most probable activity from the list of activities in the update
DetectedActivity mostProbableActivity = result.getMostProbableActivity();
// Get the type of activity
int activityType = mostProbableActivity.getType();
if (activityType == DetectedActivity.ON_FOOT) {
DetectedActivity betterActivity = walkingOrRunning(result.getProbableActivities());
if (null != betterActivity)
mostProbableActivity = betterActivity;
}
private DetectedActivity walkingOrRunning(List<DetectedActivity> probableActivities) {
DetectedActivity myActivity = null;
int confidence = 0;
for (DetectedActivity activity : probableActivities) {
if (activity.getType() != DetectedActivity.RUNNING && activity.getType() != DetectedActivity.WALKING)
continue;
if (activity.getConfidence() > confidence)
myActivity = activity;
}
return myActivity;
}
今天晚上我测试了上面的代码,无论是走路还是跑步,它似乎都做得很好。如果您没有明确过滤仅RUNNING
or WALKING
,您可能会得到错误的结果。
以下是处理新活动结果的完整方法。我直接从示例应用程序中提取了这个,并且已经测试了几天,结果很好。
/**
* Called when a new activity detection update is available.
*/
@Override
protected void onHandleIntent(Intent intent) {
Log.d(TAG, "onHandleIntent");
// Get a handle to the repository
mPrefs = getApplicationContext().getSharedPreferences(
Constants.SHARED_PREFERENCES, Context.MODE_PRIVATE);
// Get a date formatter, and catch errors in the returned timestamp
try {
mDateFormat = (SimpleDateFormat) DateFormat.getDateTimeInstance();
} catch (Exception e) {
Log.e(TAG, getString(R.string.date_format_error));
}
// Format the timestamp according to the pattern, then localize the pattern
mDateFormat.applyPattern(DATE_FORMAT_PATTERN);
mDateFormat.applyLocalizedPattern(mDateFormat.toLocalizedPattern());
// If the intent contains an update
if (ActivityRecognitionResult.hasResult(intent)) {
// Get the update
ActivityRecognitionResult result = ActivityRecognitionResult.extractResult(intent);
// Log the update
logActivityRecognitionResult(result);
// Get the most probable activity from the list of activities in the update
DetectedActivity mostProbableActivity = result.getMostProbableActivity();
// Get the confidence percentage for the most probable activity
int confidence = mostProbableActivity.getConfidence();
// Get the type of activity
int activityType = mostProbableActivity.getType();
mostProbableActivity.getVersionCode();
Log.d(TAG, "acitivty: " + getNameFromType(activityType));
if (confidence >= 50) {
String mode = getNameFromType(activityType);
if (activityType == DetectedActivity.ON_FOOT) {
DetectedActivity betterActivity = walkingOrRunning(result.getProbableActivities());
if (null != betterActivity)
mode = getNameFromType(betterActivity.getType());
}
sendNotification(mode);
}
}
}
private DetectedActivity walkingOrRunning(List<DetectedActivity> probableActivities) {
DetectedActivity myActivity = null;
int confidence = 0;
for (DetectedActivity activity : probableActivities) {
if (activity.getType() != DetectedActivity.RUNNING && activity.getType() != DetectedActivity.WALKING)
continue;
if (activity.getConfidence() > confidence)
myActivity = activity;
}
return myActivity;
}
/**
* Map detected activity types to strings
*
* @param activityType The detected activity type
* @return A user-readable name for the type
*/
private String getNameFromType(int activityType) {
switch (activityType) {
case DetectedActivity.IN_VEHICLE:
return "in_vehicle";
case DetectedActivity.ON_BICYCLE:
return RIDE;
case DetectedActivity.RUNNING:
return RUN;
case DetectedActivity.WALKING:
return "walking";
case DetectedActivity.ON_FOOT:
return "on_foot";
case DetectedActivity.STILL:
return "still";
case DetectedActivity.TILTING:
return "tilting";
default:
return "unknown";
}
}
主要变化是 ON_FOOT 现在返回检测到的活动列表。现在改用 getMostProbableActivities()。
当 ON_foot 获得如下检测到的活动列表时,此解决方案会走路或跑步:
//Get the list from the result
ActivityRecognitionResult result = ActivityRecognitionResult.extractResult(intent);
ArrayList<DetectedActivity> activityList = new ArrayList<DetectedActivity>(result.getProbableActivities());
//Get the most probable activity
getMostProbableActivity(activityList);
现在传递您的列表以查找最可能的活动,如下所示:
private DetectedActivity getMostProbableActivity(List<DetectedActivity> detectedActivityList)
{
DetectedActivity result = null;
//Find the most probably activity in the list
for(DetectedActivity detectedActivity : detectedActivityList)
{
if(detectedActivity.getType() != DetectedActivity.ON_FOOT)
{
if(result == null)
{
result = detectedActivity;
}
else
{
if(result.getConfidence() < detectedActivity.getConfidence())
{
result = detectedActivity;
}
}
}
}
return result;
}
您可以尝试这个简单的“for 循环”来确保您的用户正在开车。
for (DetectedActivity detectedActivity : detectedActivityList)
{
{
if(DetectedActivity == “In_Vehicle” && result.getConfidence()> 75)
{
// output = User is Driving;
// Perform task
}
}
}
请记住,要让 Google Play 服务确保您的用户正在执行某项任务,置信度必须大于 75,只有这样您才能确定该任务已执行。或者,您可以尝试其中一些免费的 SDK,例如 Tranql、Neura 或 ContextHub,它们可以让您更好地了解用户的活动和位置。
我有 Google play Services 5.0.84,它适用于我的 Nexus 5。不知道你在说什么,所以它可能是你代码中的错误。
我的应用程序每分钟不断采样,并返回(大部分时间)正确的活动。开车/步行/倾斜/步行..一切都来了..
另外,如果你不使用getMostProbableActivity
,那么你应该使用它!评论:在特定设备或某些供应商固件中确实可能会出现问题,但这不太可能。