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1.发明申请公开(公告)号：US20200210781A1
公开(公告)日：2020-07-02
申请号：US16647065
申请日：2018-11-14
Applicant: TANDEMLAUNCH INC.
Inventor： Alexandre DESILETS-BENOIT , Bruno FALARDEAU , Raymond POITRAS , Maria Virginia RUIZ-BLONDET , Felix Leger
Abstract: A system and method are provided that use context awareness with device-dependent training to improve precision while reducing classification latency and the need for additional computing, such as by relying on cloud-based processing. Moreover, the following can leverage signal analysis with multiple sensors and secondary validation in a multi-modal approach to track passive events that would otherwise be difficult to identify using classical methods. In at least one implementation, the system and method described herein can leverage low power sensors and integrate already available human behavior in modular algorithms isolating specific context to reduce user interact time and training to a minimum
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2.发明公开公开(公告)号：US20240038080A1
公开(公告)日：2024-02-01
申请号：US18258324
申请日：2021-12-22
Applicant: TANDEMLAUNCH INC.
Inventor： Farhad Rahbarnia , Alexandre Borowczyk , Jacob Willem Langelaan
CPC classification number: G08G5/0069 , G05D1/0088 , B64U10/00 , B64U50/31 , B64U2201/10
Abstract: A multi-objective method of optimizing the time the ASV spends ‘in observation’ or ‘sensing’ and the time the ASV spends ‘recharging’ or ‘energy harvesting’ is taught herein. The method comprises: collecting data on observation points of interest, determining whether or not energy harvesting is needed, and effectively visiting the observation points of interest between the search for energy harvesting.
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公开(公告)号：US20230199413A1
公开(公告)日：2023-06-22
申请号：US17928383
申请日：2021-05-28
Applicant: TANDEMLAUNCH INC.
Inventor： Naeem Komeilipoor
CPC classification number: H04R25/507 , A61B5/369 , A61B5/398 , G06F3/012 , G06F3/013 , G06F3/015 , G10L21/028 , G10L25/30 , H04R25/405 , H04R25/407 , H04R2225/43
Abstract: Hearing assistance systems, devices and methods including obtaining, by the device, multiple brain and bio-signals indicative of the auditory and visual attentional focus of the user, obtaining a mixed sound signal from multiple sound sources and applying, by the device, speech-separation and enhancement processing to the mixed sound signal to derive a plurality of separated signals that each contains signals corresponding to different groups of the multiple sound sources, and selecting one of the pluralities of separated signals either solely based on the obtained brain signals, or on a combination of bio-signals, including but not limited to eye gaze direction, head, neck and trunk orientation, etc. The separated signals may then be processed (i.e., amplified, attenuated) based on the needs of the user.
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公开(公告)号：US20210182623A9
公开(公告)日：2021-06-17
申请号：US16647065
申请日：2018-09-14
Applicant: TANDEMLAUNCH INC.
Inventor： Alexandre DESILETS-BENOIT , Bruno FALARDEAU , Raymond POITRAS , Maria Virginia RUIZ-BLONDET , Felix Leger
Abstract: A system and method are provided that use context awareness with device-dependent training to improve precision while reducing classification latency and the need for additional computing, such as by relying on cloud-based processing. Moreover, the following can leverage signal analysis with multiple sensors and secondary validation in a multi-modal approach to track passive events that would otherwise be difficult to identify using classical methods. In at least one implementation, the system and method described herein can leverage low power sensors and integrate already available human behavior in modular algorithms isolating specific context to reduce user interact time and training to a minimum
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