def lookup (points):
strokes = moosegesture.getGesture(points)
if len(strokes) == 0:
if identify_hold(points):
if len(points) > 10:
return "long_hold"
else:
return "short_hold"
return None
possibles = gestureMap.keys()
gestures = moosegesture.findClosestMatchingGesture(strokes,
gestureMap.keys(),
tolerance=3)
print strokes
if gestures == None:
return None
gestures = [gestureMap[x] for x in gestures]
for g in gestures:
print "potential", g
for shape in ["updown", "triangle", "square", "leftright", "upright", \
"upleft", "downleft", "downright"]:
if shape in gestures:
return shape
return gestures[0]
def on_button(self, pressed):
# print(f"button:{pressed}")
self.pressed = pressed
if pressed:
self.spell = None
self.time = time.time_ns()
self.positions = []
else:
# If releasing the button, get the gesture
norm = self.min_max_normalize(self.positions)
# print(norm)
ms = round((time.time_ns() - self.time) / 1000)
print(ms)
gesture = mg.getGesture(norm)
closest = mg.findClosestMatchingGesture(gesture,
self.gestures,
maxDifference=1)
if closest != None:
# Just use the first gesture in the list using the gesture key
self.spell = self.gestures[closest[0]]
self.vibrate(PATTERN.SHORT)
# Print out the gesture
print(f"{gesture}: {self.spell}")
def gestureReco(buff1,buff2,gestures):
pt1=np.array(buff1.allData())
pt2=np.array(buff2.allData())
x0=pt1[:,0]
y0=pt1[:,1]
x1=pt2[:,0]
y1=pt2[:,1]
x0=ptsPreprocess(x0)
y0=ptsPreprocess(y0)
x1=ptsPreprocess(x1)
y1=ptsPreprocess(y1)
dist=distanceVec(x0,y0,x1,y1)
pts=dist2pts(dist)
currgest=mg.getGesture(pts)
currgest=[str(i) for i in currgest]
result=mg.findClosestMatchingGesture(currgest,gestures)
return str(result).strip('['),currgest
def on_button(self, pressed):
self.pressed = pressed
if pressed:
self.spell = None
else:
# If releasing the button, get the gesture
gesture = mg.getGesture(self.positions)
self.positions = []
closest = mg.findClosestMatchingGesture(gesture,
self.gestures,
maxDifference=1)
if closest != None:
# Just use the first gesture in the list using the gesture key
self.spell = self.gestures[closest[0]]
self.vibrate(PATTERN.SHORT)
# Print out the gesture
print("{}: {}".format(gesture, self.spell))
def sanitize_and_notify(coord_set):
timestamp_vals = {}
# filter all X axis events and set their timestamps
for _, x_event in coord_set:
if x_event is not None:
timestamp_vals[f'{x_event.timestamp()}'] = [x_event.value]
# filter all Y axis events and set their timestamps
for y_event, _ in coord_set:
try:
if y_event is not None:
try:
timestamp_vals[f'{y_event.timestamp()}'][1] = y_event.value
except IndexError:
timestamp_vals[f'{y_event.timestamp()}'].append(
y_event.value)
except KeyError:
pass
sanitized_tuple_list = []
for item in timestamp_vals.values():
if len(item) == 2:
sanitized_tuple_list.append(tuple(item))
# ignore the first 10% events cause it's garbage sometimes
trim_beginning_len = 0.1 * len(sanitized_tuple_list)
detected_gesture = moosegesture.getGesture(
sanitized_tuple_list[int(trim_beginning_len):])
# print(f'Gesture is :- {detected_gesture}')
closest_match = moosegesture.findClosestMatchingGesture(detected_gesture,
tuple_gesture_keys,
maxDifference=4)
if closest_match is None:
return None
notify(f"Gesture Detected :- {gesture_map[str(closest_match[0])]}")
return gesture_map[str(closest_match[0])]
def test_findClosest(self):
strokes = [DOWN, LEFT, RIGHT]
gestures = [[DOWN, LEFT, DOWN], [DOWN, RIGHT, UPRIGHT]]
self.assertEqual(moosegesture.findClosestMatchingGesture(strokes, gestures), ((DOWN, LEFT, DOWN),))
