Deutsch

ACSDA
Adaptive Crossmodal Sensor Data Acquisition

Adaptive Crossmodal
Sensor Data Acquisition

what is being researched?

The project Adaptive Crossmodal Sensor Data Acquisition is part of the research areas Cognitive Systems and Data Science. The core of the project is the robust and efficient acquisition and processing of sensor data.

For this purpose, a cross-modal approach, which is to process image, audio and signals from medical sensors, requires the identification and application of optimal probabilistic and machine learning methods.

These results can be used in the cross-modal combination of signals so that the information can be specifically supplemented and enriched.
Within the project, different approaches will be pursued to identify best practices. The control of sensors for information acquisition will be improved to ensure that sufficient or more information can be obtained in a shorter time than before.

Adaptive Crossmodal
Sensor Data Acquisition

how is research done?

Adaptive Crossmodal
Sensor Data Acquisition

who researches together?

Timo Gerkmann

Prof. Dr.

UHH
Projectcoordinator

Info-circle

Tobias Knopp

Prof. Dr.

TUHH
Projectpartner

Info-circle

Simone Frintrop

Prof. Dr.

UHH
Projectpartner

Info-circle

Alexander Schlaefer

Prof. Dr.

TUHH
Projectpartner

Info-circle
get in contact with ACSDA

You want to learn more?

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Deutsch

ACSDA
Adaptive Crossmodal
Sensor Data Acquisition

Adaptive Crossmodal
Sensor Data Acquisition

what is being researched?

The project Adaptive Crossmodal Sensor Data Acquisition is part of the research areas Cognitive Systems and Data Science. The core of the project is the robust and efficient acquisition and processing of sensor data.

For this purpose, a cross-modal approach, which is to process image, audio and signals from medical sensors, requires the identification and application of optimal probabilistic and machine learning methods.

Adaptive Crossmodal
Sensor Data Acquisition

how is research done?

These results can be used in the cross-modal combination of signals so that the information can be specifically supplemented and enriched.
Within the project, different approaches will be pursued to identify best practices. The control of sensors for information acquisition will be improved to ensure that sufficient or more information can be obtained in a shorter time than before.

Adaptive Crossmodal
Sensor Data Acquisition

who researches together?

Timo Gerkmann

Prof. Dr.

UHH
Projectcoordinator

Info-circle

Tobias Knopp

Prof. Dr.

TUHH
Projectpartner

Info-circle

Simone Frintrop

Prof. Dr.

UHH
Projectpartner

Info-circle

Alexander Schlaefer

Prof. Dr.

TUHH
Projectpartner

Info-circle
get in contact with ACSDA

You want to learn more??

ahoi.digital

other ahoi.digital projects

Forum 4.0

Machine Analysis, Aggregation and Visualization of User Comments
Forum 4.0

SANE



Smart Networks for Urban Participation


SANE

IGT




Information Governance Technologie


IGT

Smart Open Hamburg

Hamburg's digital Traffic Gemini

click here
Deutsch

ACSDA
Adaptive Crossmodal Sensor Data Acquisition

Adaptive Crossmodal
Sensor Data Acquisition

what is being researched?

The project Adaptive Crossmodal Sensor Data Acquisition is part of the research areas Cognitive Systems and Data Science. The core of the project is the robust and efficient acquisition and processing of sensor data.

For this purpose, a cross-modal approach, which is to process image, audio and signals from medical sensors, requires the identification and application of optimal probabilistic and machine learning methods.

Adaptive Crossmodal
Sensor Data Acquisition

how is research done?

Within the project, different approaches will be pursued to identify best practices. The control of sensors for information acquisition will be improved to ensure that sufficient or more information can be obtained in a shorter time than before.
These results can be used in the cross-modal combination of signals so that the information can be specifically supplemented and enriched.

Adaptive Crossmodal
Sensor Data Acquisition

who researches together?

Timo Gerkmann

Prof. Dr.

UHH
Projectcoordinator

Info-circle

Tobias Knopp

Prof. Dr.

TUHH
Projectpartner

Info-circle

Simone Frintrop

Prof. Dr.

UHH
Projectpartner

Info-circle

Alexander Schlaefer

Prof. Dr.

TUHH
Projectpartner

Info-circle

You want to learn more?

get in contact with ACSDA

ahoi.digital

other ahoi.digital projects

Forum 4.0

Machine Analysis, Aggregation and Visualization of User Comments
Forum 4.0

SANE


Smart Networks for Urban Participation

SANE

IGT


Information Governance Technologie

IGT

Smart Open Hamburg

Hamburg's digital Traffic Gemini
click here