Gesture Units > Gesture Form > Gesture Phases > Rhythmic Properties > Gesture Referentiality > Gesture Pragmatics
Challenge: Identifying Gesture Form
What are the shape and direction configurations of the gesture?
Learning Objectives
Find out more about the form dimension of gesture
Discover four different aspects of form: Handshape, palm orientation, trajectory shape, and trajectory direction
Become familiar with the different labels within each aspect of form
Learn how to annotate form in ELAN
In this challenge, we will:
Watch the explanatory video
Do a task on identifying the Gesture Form
Do a task on selecting the matching annotation for the video example
Watch an annotation tutorial
Practice annotating on our own
Explanatory Video: Identifying Gesture Form
Let's watch the video to learn more about Form! We recommend watching it in full screen to see the gestural movements in the examples better.
Click here to see the transcript of the video
Welcome back. In this video, we will cover the form dimension of gestures. We’ll start with why we’re looking at the form as a separate dimension, talk about the specific form subdimensions of handedness, hand shape, palm orientation, trajectory shape, and trajectory direction, and look at a few examples together. There are other form subdimensions in the M3D system, but we won’t cover them in this video.
In previous videos, we mentioned that the gesture unit, or G-Unit, covers the span of time from when the hands leave a rest position to prepare to carry out a gesture, through the end of the recovery to a rest position. Now, we want to explore what is kinematically happening within these gesture units.
The form dimension of hand gestures refers to the arrangement of the hands and their movement patterns, sometimes called the articulator configurations and the kinematics. It is important to note that the movements of the arms, face and other body parts can also make significant contributions to a communicative act. In this video, we will only focus on the hands.
Handedness
Let’s start with the subdimension of handedness. Handedness, which is coded on the “Manual articulator” tiers, refers to which hand or hands are being used in the gestural movement. It can be the left hand, which we label with the abbreviation “LH” or the right hand, labeled with “RH”. When both hands are used, we use “BH”.
Manual articulator configuration
Next, let’s look at the manual articulators, the subdimensions of hand shape and palm orientation. Now before we start looking at what hand shapes are, we need to consider palm orientation., Because, when we separate out the direction the palm is facing, from the shape of the hand we can greatly reduce the number of different hand shapes a labeler would need to recognize.
Here are some examples of hand shapes. Let’s make a point and start with the deictic handshape which, in the labeling scheme, we would annotate with the letter “D” for “deictic”. When we bring that finger down and clench, we get a fist handshape , labeled as F for “fist” ; gently loosening it up we get a relaxed handshape which we label with R for “relaxed”. From here, straighten out those fingers as if you were getting ready to clap, and you have the open hand shape, labeled with the letter O for “open”. Keep the fingers straight and bring them together, and you will have the knife handshape, labeled with K, for “knife”. Curl your fingers so all the tips touch, you get a hole handshape for a monocular, labeled with H for “hole”. Don’t worry about memorizing all of these right now. You can find a description of each label directly in the M3D ELAN template, in the controlled vocabulary. You can also check out the MIT Speech Communication Group’s Gesture Coding Manual for more examples
As I mentioned earlier, we separate the palm orientation from the handshape subdimension. You may notice that the perceived intention of a hand shape can look verydifferent when you change the palm orientation. Let’s take the knife handshape. With the palm orientation facing “forward”, you may noticed a different intention from the palm facing toward the speaker – labeled as “self” . Now here’s palm “up”, “down”, “left”/“right” toward the other side of the body, and then there’s “head”. When assessing palm orientation, it’s helpful to imagine an arrow pointing straight out of the speaker’s palm. So palm orientation is simply the direction in which that arrow is pointing.
Kinematics, or movement pattern
Now, let’s consider the movement path by looking at the subdimension of trajectory shape. Trajectory shape is labeled for the shape of the movement during the stroke. This can be straight, often up-and-down, curved , or looping which is a set of at least 2 closed and fluid oval shapes.
Finally, we can talk about trajectory direction. This simply refers to the directions in which the gesture is moving. These refer to directions you are already familiar with and we label them as such. So for trajectory direction, we have up, down, to the speaker’s left or right, forward, or towards the speaker’s self. We also have compound directions, like when combining forward and down, or any other combinations.
You may notice that the hand can sometimes only appear to be moving because it is connected to a larger moving body part. For example, when I rotate my torso my hands seem to move, but it’s only my torso that’s moving. So we do not annotate these cases as hand movements.
Now, in practice, we recommend annotating the form tiers over the duration of the G-Unit without audio. This will provide more thorough annotations, which then helps guide you for annotating the other aspects such as gesture phasing. However, you may choose a different convention based on your research questions, such as annotating form over only the duration of the gesture stroke, or by only annotating particular tiers within the form dimension. As you choose your conventions, it is useful to clearly communicate them, because these form subdimensions can look different when including, or when not including the gesture phases
In this video, we’ve explored the form dimension, with its subdimensions of handedness, hand shape, palm orientation, trajectory shape, and trajectory direction, and how we annotate them in M3D.
As a reminder, Annotating the Gesture Form takes place with the audio muted. Thank you for watching!
Task 1: Recognize the Gesture Form
Practice how to recognize the various handshapes, palm orientations, and trajectory movements available in M3D. Remember, we always want to assess the form and movement directions from the perspective of the speaker. Click on the "Let's go" button to start the task. To start the videos, click on the "play" button. Watch the videos as often as you prefer and pay attention to the Gesture Form. Then, select the correct answer.
The videos within the task might take a minute to load. If you have trouble accessing the task, please click here.
Duration: about 8 minutes
Task 2: Select the best Gesture Form annotation
Click on the "Let's go" button to start the task. To start the videos, click on the "play" button. Watch the videos as often as you prefer and pay attention to the Gesture Form. Then, select the tier that represents what you see on the video.
The videos within the task might take a minute to load. If you have trouble accessing the task, please click here.
Duration: about 10 minutes
This task requires basic knowledge of ELAN
Annotation Tutorial: Let's annotate together!
Watch this annotation tutorial to find out how to annotate Gesture Form in ELAN and for being prepared for the final task of this challenge.
Task 3: Now it's your turn!
This task requires knowledge of ELAN
For the same video as in the previous challenge, try annotating Gesture Form on your own. Remember to not have gaps between the annotations and to always annotate directions from the perspective of the speaker.
After annotating, click on the link below to download the solutions and compare your annotations. You'll also find the ELAN template and .mp4 files, in case you would need them.
Useful Resources
MIT Speech Communication Group’s Gesture Coding Manual: https://speechcommunicationgroup.mit.edu/gesture/coding-manual.html#handedness
M3D Resources (Template, Manual, M3D-TED corpus): https://osf.io/ankdx/