Hand Tracking
Last updated
Last updated
NRSDK’s Hand Tracking capability tracks the position of key points of your hands and recognizes hand poses in real-time. Hand poses are shown in the first-person view and used to interact with virtual objects immersively in-world.
Capabilities:
The NRSDK can track hands through the world coordinate frame and annotated the position and orientation of twenty-three key points;
The NRSDK currently supports six hand poses from either hand;
While tracking hand poses, the NRSDK also returns to a state of whether there are hands being tracked;
Left/Right hand detection is available in NRSDK;
When using hands as input, the hand’s pose drives a laser cursor-pointer that behaves like the standard controller cursor.
As long as the index finger and thumb pinch together (regardless of the pose of other fingers), it is considered a pinch pose.
Gestures above will all be recognized as pinch/select.
Keep this gesture for 1.2s to evoke the home menu.
Both left and right hands will be recognized.
Similar to a controller, NRSDK provides a pointer for each hand to interact with targets. The pointer pose and whether the pointer pose is being tracked can be obtained from HandState
of each hand.
The pointer pose must meet the following conditions to be correctly tracked:
The hand is recognized
The palm direction is pointing forward
A basic hand pointer style is included in NRHand_R
and NRHand_L
prefabs located in Assets>NRSDK>Prefabs>Hands
. You can also customize the style of Hand Pointer based on the pointer pose and related data, combined with some data in NRPointerRaycaster.
The NRSDK hand tracking system identifies the position of 23 key points on the hand for every recognized hand pose(position and orientation).
0
Wrist
1
Palm
2
ThumbMetacarpal
3
ThumbProximal
4
ThumbDistal
5
ThumbTip
6
IndexProximal
7
IndexMiddle
8
IndexDistal
9
IndexTip
10
MiddleProximal
11
MiddleMiddle
12
MiddleDistal
13
MiddleTip
14
RingProximal
15
RingMiddle
16
RingDistal
17
RingTip
18
PinkyMetacarpal
19
PinkyProximal
20
PinkyMiddle
21
PinkyDistal
22
PinkyTip
Device compatibility
To ensure optimal algorithm performance, it is recommended to use specific smartphone models and versions, as different manufacturers and Android versions may affect the algorithm's effectiveness.
Samsung S22: OneUI 5.1
Samsung S23: OneUI 5.1, OneUI 6.0
HUAWEI P60 Pro: HarmonyOS 4.0.0
OPPO Find X6 Pro: Android 13
Hand tracking can also run on devices besides the above, the stability however is not guaranteed. For the full compatibility list, please refer to Device Compatibility.
Influence of Qualcomm Chipsets and NRSDK:
For devices powered by Qualcomm chipsets, using NRSDK for developing hand tracking applications enhances compatibility. The hand tracking algorithm prioritizes using cdsp (SNPE) as the computation unit to ensure SNPE functions properly
AndroidManifest.xml Modifications:
When building your app, add the following properties in AndroidManifest.xml
.
Adding these properties removes the restriction related to Android SDK Target API 29.
Influence of Unity Packaging on APK:
The current gesture recognition application supports only Android SDK Target API 29. Higher versions of the API may activate enhanced security restrictions, which can affect access to SNPE resources.
Library Conflict:
NRSDK includes libc++_shared.so
, which might conflict with similarly named third-party components. Ensure to use the libc++_shared.so
provided by NRSDK during the build process to avoid conflicts.
Backgrounds & Camera
Hand tracking SDK uses on-board camera(s) to detect hands, so make sure hands are visible from the camera.
Avoid complicated backgrounds, solid backgrounds are preferred;
Avoid backlight or low light, or unbalanced lighting conditions in camera frame;
Gesture
Avoid stacked or interlaced fingers for either hand;
Avoid the hands of different people;
Avoid fast-moving;
There are chances that the orientations of the joints are recognized converted. If so, please move your hands out of the visible fields and move them back again.
Sample Use Case:
Details Of HandState:
Create a new project in Unity with NRSDK. Refer to Getting Started with NRSDK for more setting up instructions.
Delete the Main Camera
from the scene hierarchy.
Find NRCameraRig
and NRInput
prefab from Assets>NRSDK>Prefabs>NRCameraRig
. Drag them to the scene hierarchy.
4. Select the NRInput
GameObject in the Hierarchy
window to open the Inspector
window, and choose Hands
as Input Source Type
.
5. Find NRHand_R
and NRHand_L
from Assets>NRSDK>Prefabs>Hands
. Add them as child GameObjects of Left
and Right
anchor in NRInput
correspondingly.
6. Now you are ready for hand tracking, refer to Tutorial: Manipulating an Object for adding more interactions with objects.
Samples are included in the Unity package. Please refer to Assets>NRSDK>Demos>HandTracking
for details.