Current user-identification techniques
are often based on logins and PIN
codes or passwords. The overhead of
logging in was more acceptable when
we used to sit down for long sessions
of work in front of a PC, but it now
has become a nuisance—to the point
where many users forgo any authentication
on their mobile devices. Biometric
techniques, such as fingerprint readers
or face recognition, are more resource
intensive and face their own usability
challenges. Fingerprint readers require
space on a device, add cost, and can be
difficult to use in low-humidity environments.
Face recognition has higher
processing requirements and can be difficult
in low-lighting conditions.
Our goal has therefore been to find
a less obtrusive way to identify users
during their regular interactions with pervasive devices. Capacitive touch
sensors have emerged as a dominant
user interface technology for mobile
and pervasive devices. Touch sensors
reside in hundreds of millions of smartphones
and tablets as well as in ATM
machines, car dashboard displays, and
even home appliances such as televisions,
microwaves, and refrigerators.
Given that touch is the predominant
way of navigating and interacting with
today’s computer-embedded devices,
our approach seeks to identify who
touches a device, which can be more
accurate (or secure) than user-proximity
sensing with short-range radios such as
Bluetooth or NFC. When there are several
potential users near a device, one
of the most meaningful ways to identify
who’s really interacting with the device
is to identify who is touching it.
Current user-identification techniquesare often based on logins and PINcodes or passwords. The overhead oflogging in was more acceptable whenwe used to sit down for long sessionsof work in front of a PC, but it nowhas become a nuisance—to the pointwhere many users forgo any authenticationon their mobile devices. Biometrictechniques, such as fingerprint readersor face recognition, are more resourceintensive and face their own usabilitychallenges. Fingerprint readers requirespace on a device, add cost, and can bedifficult to use in low-humidity environments.Face recognition has higherprocessing requirements and can be difficultin low-lighting conditions.Our goal has therefore been to finda less obtrusive way to identify usersduring their regular interactions with pervasive devices. Capacitive touchsensors have emerged as a dominantuser interface technology for mobileand pervasive devices. Touch sensorsreside in hundreds of millions of smartphonesand tablets as well as in ATMmachines, car dashboard displays, andeven home appliances such as televisions,microwaves, and refrigerators.Given that touch is the predominantway of navigating and interacting withtoday’s computer-embedded devices,our approach seeks to identify whotouches a device, which can be moreaccurate (or secure) than user-proximitysensing with short-range radios such asBluetooth or NFC. When there are severalpotential users near a device, oneวิธีมีความหมายมากที่สุดในการระบุที่จริงจะโต้ตอบกับอุปกรณ์หรือไม่คือการ ระบุที่จะสัมผัส
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