SBIR/STTR Research Award

Biomimetic Tactile Sensor for Prosthetics

Award identifier e1b1d0d22841e0cd7452739843b4a582ce0cd7cc0cc96bec9740f5ff2da49ff6Awarding agency Department of Health and Human Services · National Institutes of Health

Award amount

$1,102,560

Program and phase

SBIR · Phase II

Award year

2010

Explore This Research Award in CaptureIQ

Research the technology, evaluate the recipient and agency, identify related opportunities, and explore potential follow-on work with CaptureIQ.

Award details

Awarding agency
Department of Health and Human Services
Branch
National Institutes of Health
Recipient company
Syntouch L.L.C.
Proposal award date
Not reported
Contract end date
Not reported
UEI
N3MYNFGSSJZ3
Solicitation number
PHS2010-2
Topic code
NICHD

Research abstract

DESCRIPTION (provided by applicant): Tactile feedback is essential for dexterous use of the hand. Physical therapists working to rehabilitate hands with neurological damage understand that tactile sensation is a key indicator of ultimate hand function. Neurophysiologists have identified that rapid reflexive adjustment of grip is essential for handling objects and depends on tactile feedback via the spinal cord. Autonomous robots can deal only with rigid objects in known orientations specifically because they lack tactile feedback. Engineers developing telerobotic manipulators have demonstrated improved performance when vibrotactile feedback is provided via haptic displays to the operator's hand. The limiting factor in all of these applications has been the absence of sensitive yet robust sensors that can be incorporated into anthropomorphic mechatronic fingers and used in the diverse and often hostile environments in which hands need to function. We have developed and demonstrated the basic feasibility of novel biomimetic tactile sensors that provide wide dynamic range sensing of normal and shear forces, microvibrations associated with slip and texture, and temperature and heat fluxes associated with the material properties of contacted objects All of these sensing elements and connections are located in and protected by the rigid core of a finger that is covered with skin, pulp and nail elements that are mechanically and cosmetically similar to biological fingers. In this project, the signal processing electronics and molded core and skin components that were developed in Phase I will be assembled into complete modules. These DigiTAC modules will be integrated mechanically, electronically and functionally into a variety of prosthetic and robotic hands intended to provide function for patients with loss of normal hand function as a result of trauma and disease. Tactile feedback from these multimodal sensor arrays will be used to adjust grip forces automatically to prevent slip and to stimulate innervated skin to provide conscious perception of interactions with objects. PUBLIC HEALTH RELEVANCE: Between 1988 and 1996 alone over 700,000 people underwent upper limb amputation (Dillingham et al. 1998). The development of electromechanical replacement limbs has been hampered by the lack of robust sensors for touch and grip adjustment. We are developing prosthetic fingers that imitate the appearance, mechanical properties and sensory capabilities of human fingers, and integrating them with prosthetic and robotic hands.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

12 SBIR/STTR records share this UEI (2009–2015). Reported award amounts total $3,858,922. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: National Science Foundation, Department of Health and Human Services, Department of Defense, Department of Commerce, Department of Agriculture

Agency intelligence

Department of Health and Human Services

Back to SBIR/STTR Research Awards

Don't take our word for it. Ask AI about RFPCapture.

See what leading AI assistants have to say about RFPCapture and CaptureIQ.

Gemini opens without a prefilled question. The question is copied to your clipboard when the button works. You can also copy it here:

What is RFPCapture.com and its CaptureIQ platform from Smart Logic AI? How does it help federal contractors discover opportunities, evaluate bid/no-bid decisions, research government contracts, and prepare proposals? How does it compare with other federal capture platforms? Use independent sources where available.