def length(frames, amount_used=.1):
"""
Feature based on the average distance each finger moves in the gesture
"""
num_frames = len(frames)
num_used = int(amount_used * num_frames)
firsts = [[] for i in range(num_used)]
lasts = [[] for i in range(num_used)]
for f, first in zip(frames[0:num_used], firsts):
positions = get_positions(f)
for position in positions:
first.append(position)
for f, last in zip(frames[-num_used:], lasts):
positions = get_positions(f)
for position in positions:
last.append(position)
lengths = [
utils.norm(
utils.subtract(utils.average_position(first),
utils.average_position(last)))
for first, last in zip(firsts, lasts)
]
return lengths
def average_velocity(frames):
values = []
for frame in frames:
for hand in frame.hands():
for finger in hand.fingers():
values.append(finger.velocity())
average_value = utils.average_position(values)
return [average_value.x,average_value.y,average_value.z]
def average_velocity(frames):
values = []
for frame in frames:
for hand in frame.hands():
for finger in hand.fingers():
values.append(finger.velocity())
average_value = utils.average_position(values)
return [average_value.x, average_value.y, average_value.z]
def average_velocity(frames):
"""
Feature based on the average velocity of all of the finger tips in the gesture
"""
values = []
for frame in frames:
for hand in frame.hands():
for finger in hand.fingers():
values.append(finger.velocity())
average_value = utils.average_position(values)
return [average_value.x, average_value.y, average_value.z]
def average_velocity(frames):
"""
Feature based on the average velocity of all of the finger tips in the gesture
"""
values = []
for frame in frames:
for hand in frame.hands():
for finger in hand.fingers():
values.append(finger.velocity())
average_value = utils.average_position(values)
return [average_value.x,average_value.y,average_value.z]
def length(frames,amount_used=.1):
"""
Returns the average distance each finger moves in the gesture
"""
num_frames = len(frames)
num_used = int(amount_used*num_frames)
firsts = [[] for i in range(num_used)]
lasts = [[] for i in range(num_used)]
for f,first in zip(frames[0:num_used],firsts):
positions = get_positions(f)
for position in positions:
first.append(position)
for f,last in zip(frames[-num_used:],lasts):
positions = get_positions(f)
for position in positions:
last.append(position)
lengths = [utils.norm(utils.subtract(utils.average_position(first),utils.average_position(last))) for first,last in zip(firsts,lasts)]
return lengths
