Software Microsoft Sidewinder Force Feedback Wheel

From technology acquired from EXOS, Inc,[12] Microsoft then released a forc=
e feedback product called the Force Feedback Pro. Built on the design of th=
e Precision Pro, the Force Feedback Pro differed only in the inclusion of m=
otors for the force feedback effects, and the lack of USB compatibility. (A=
 DIY converter project exists.) Due to the inclusion of the motors, the For=
ce Feedback Pro was significantly larger and heavier than the Precision Pro=
, making it easy to differentiate between the two.

Software microsoft sidewinder force feedback wheel
DOWNLOAD https://t.co/qq2mDyTO6H



As the PC joystick port is input-only, the only way for data to be sent to =
the joystick (to trigger force feedback events) is to use the MIDI capabili=
ties of the port.[13] This extension to the original gameport, first popula=
rised by Creative Labs in their early sound cards, was intended to allow MI=
DI instruments to be connected to the joystick port but is used here to pro=
vide bidirectional communication with the joystick instead. Force feedback =
events are triggered by messages on MIDI channel 6, with effect data upload=
ed via SysEx messages. This means that force feedback would be unavailable =
on the earliest of PCs, where the gameports lack MIDI functionality.

The Microsoft SideWinder Force Feedback Wheel is a steering wheel controlle=
r for sim racing. It was the first wheel controller to contain force feedba=
ck.[citation needed] The USB version of the wheel is compatible with one Pl=
ayStation 2 game, Tokyo Xtreme Racer Zero.

Hi,

is someone able to explain how to set up PPJoy and GlovePie with the sidewi=
nder FF wheel in detail?
Sorry, im a total noob with using PPJoy and GlovePie and the wheel is too g=
ood to throw away just because we are using Win7 64bit.

The only thing I had to do was customise the controller profile in the game=
 a bit to change the barking-mad preset keyboard keys for the quick-menu (1=
=3Dup,2=3Dright,3=3Ddown,4=3Dleft just defies logic!!!!!) I have remapped i=
t to the cursor keys instead. All the predefined wheel button functions, ge=
ar change paddles,etc work absolutely fine. I also increased the steering d=
ead zone a little to prevent any force-feedback-induced wobbling on the str=
aights.

-7/en-us/Details.aspx?type=3DHardware&p=3DMicrosoft%20SideWinder%20Force%20=
Feedback%20Wheel%20Game%20Controller&v=3DMicrosoft&uid=3DA16-00041&pf=3D0&p=
i=3D8&s=3DAvb%20Top%20shot%20force%20feedback%20joystick&os=3D32-bit



I have also been surprised to find the wheel and pedals working fine in Win=
 7 with F1 2010! I remember packing my wheel away in disgust when driver su=
pport vanished after upgrading from XP. I had just discovered my wheel in s=
torage and was going to throw it in the trash or try and sell it and though=
t I'd test it. Everything worked fine even identified by name in the game c=
ontroller settings. Callibration page confirmed everything was working and =
the pedals do function correctly in game which was the issue I remember. I =
do not own any more recent driving games and have not used the pedals in an=
y flight sim. I will pack the wheel away again and keep it for a spare shou=
ld anything fail on my Thrustmaster version. These devices are expensive an=
d my game time no longer warrants any further investment in these controlle=
rs. I now have 2 working force feedback wheels and a Saitek R220 non force =
feedback fully supported in Win 7! That should see me through? The resale v=
alue would be so small when compared to the purchase price that they will b=
e worth keeping just for fun and nostalgia! HOWEVER MICROSOFT MUST CONTINUE=
 TO UPDATE DRIVERS FOR THEIR OWN HARDWARE. I purchased what was really an u=
nnecessary item to carry on driving with the Saitek, and then again when I =
upgraded to force feedback with the Thrustmaster. All because the Sidewinde=
r no longer functioned correctly!


The original project was the 3DP-Vert: The Descent BB - USB Converter for M=
S Sidewinder 3DPro, PP, and FFP
The second project to add force feedback effects and wheel support: The Des=
cent BB - Reverse Engineering the Force Feedback Pro
Google code that holds the support files and source for the project: Google=
 Code - sw3dprousb
Google code that holds the support files and source for the project: Google=
 Code - adapt-ffb-joy
GitHub repository that holds support files and source for the project: adap=
t-ffb-joy

Some few FFB-Joystick looks like to have a hardware problem over the long t=
ime storing resulting in a jitter of axis. Github #23
Therefore a user made 2 alternative firmwares you can try (Also in the pack=
age above). See source at Github
A "Cleanup" Firmware with some fixes is available form another User. See so=
urce at Github

UniTherapy applied none or varying levels of force-feedback to physical the=
rapeutic interfaces, depending on the settings and the task; these were der=
ived from a series of force effects such as spring, damper, constant and so=
 on in DirectX. Both sampling of position data and the input of force were =
at 33 Hz.

For assessment measures associated with the continuous tracking tasks, for =
the continuous circle tracking task, we found that certain measures can dif=
ferentiate between control/high functional group and low functional stroke =
group: performance of able-bodied/high functional stroke subjects in the tr=
ajectory tracking tasks were significantly more accurate (Percentage Time i=
n Target (PTT), Root Mean Square Error (RMSE)), stable (PTT), with less pat=
h deviation (deviation) and better speed consistency (Speed_Mean (SM), Spee=
d_StdDev (SS)) than subjects with low functional stroke. This was true even=
 for the relatively small size of the sample population, as reflected in th=
e levels of statistical significance between groups. One possible reason fo=
r this performance difference was that subjects with moderate to severe str=
oke may take more time for movement planning and for correction based on th=
eir visual feedback. In comparing between control and high functional strok=
e group, there is also a significant difference on SS metric as well as a t=
rend of difference observed on PTT and SM metrics: able-bodied subjects can=
 perform more accuracy (PTT), more steadily (PTT) and with better speed con=
sistency (SM, SS) than subjects with high functional stroke. The capability=
 to differentiate between able-bodied subjects and subjects with high funct=
ional stroke as well as between high and low functional stroke subjects by =
using SS metric and potentially the PTT and SM metrics suggests that these =
metrics could be sensitive to the impairment level of human subjects across=
 assistance, no force and perturbation force settings with the trajectory t=
racking task. The result on the RMSE metric was consistent with other publi=
shed data that RMSE were found to be sensitive the impairment level of huma=
n subjects [20,21,10]. However, as is reflected in the paragraphs that foll=
ow, overall this most convenient metric was not found to be one of the more=
 robust metrics in terms of sensitivity.

When we tested three different force setting (e.g. white-noise perturbation=
, no force, spring-assistance) across subjects in a continuous circle track=
ing task, significant differences were shown by the PTT and SS metrics betw=
een spring-assistance, no force and white noise perturbation settings, thus=
 supporting hypothesis 2. This suggests that spring-assistance can signific=
antly improve the performance on accuracy (PTT), steadiness (PTT) and speed=
 consistency (SS) in the trajectory tracking across subjects with different=
 impairment level, while perturbation significantly worsens these aspects o=
f movement performance. These results also confirm that perturbations signi=
ficantly worsen the capability of keeping consistent (SM) with the target s=
peed in the trajectory tracking tasks across subjects. Also, these results =
suggest that PTT emerges as a potentially sensitive assessment metric for t=
rajectory tracking tasks across various task settings, since PTT has the ca=
pability to characterize different phases in the trajectory tracking task, =
including motor planning, motor execution, and movement correction based on=
 the visual feedback [10]. While showing that perturbation force is challen=
ging across subjects during the continuous tracking tasks, it has been sugg=
ested by other studies that persons with stroke-induced impairments may lik=
ely benefit from this type of "error augmentation" training of the paretic =
limb in unpredictable mechanical environments, and potentially that improve=
ment can be transferred to ADLs [24,25].
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