Reading
- GestureWrist and GesturePad: Unobtrusive Wearable Interaction Devices
- Rekimoto
Outline
- 1. Introduction
- 2. Related work
- 3. Technological background
- 3.1. Capacitance sensing
- 3.2. On-body networking
- 3.1. Capacitance sensing
- 4. GestureWrist A wristband-type input device
- 4.1. Hand-gesture recognition
- 4.2. Forearm movement measurement
- 4.3. Tactile feedback
- 4.4. Combining two sensor inputs
- 4.1. Hand-gesture recognition
- 5. GesturePad: A sensor module for interactive clothing
- 5.1. Sensor configurations
- 5.2. Interaction areas on clothing
- 5.3. Clothes as communication surfaces
- 5.1. Sensor configurations
- 6. Discussion and future research
- 6.1. Combination with output devices
- 6.2. Combination with on-body networks
- 6.3. Sensing other parts of the body
- 6.1. Combination with output devices
Notes
- Introduction
- Important wearable computing feature #1: Supporting hands-free operations or allowing quick changes between normal and operation modes
- Some input devices used with wearable computers need to be held during operation
- With one hand already occupied, performing two-handed tasks becomes difficult
- Glove-type input devices hinder performing real-world tasks
- Some input devices used with wearable computers need to be held during operation
- Important wearable computing feature #2: Social acceptance
- Input devices should be as natural and unnoticeable as possible for use in various social settings
- Many current wearable input devices look unusual or too "hi-tech"
- Often troublesome to wear long-term in everyday situations
- Often troublesome to wear long-term in everyday situations
- Traditional wearable accessories (e.g., wristwatches, eyeglasses, jewelry, clothes) part of daily life and designed for comfort with long-time use
- Input devices should be as natural and unnoticeable as possible for use in various social settings
- "Unobtrusiveness"
- Unobtrusiveness of input devices essential for being used in everyday situations
- One possible way is to embed input sensors to conventional wearable items
- Unobtrusiveness of input devices essential for being used in everyday situations
- Paper's two example devices:
- GestureWrite
- Wristwatch-type input device that recognizes human hand gestures by capacitively measuring changes in wrist type
- Combined with acceleration sensor mounted to wristband, can be used as command-input device
- Wristwatch-type input device that recognizes human hand gestures by capacitively measuring changes in wrist type
- GesturePad
- Layer of sensor electrodes transforms conventional clothes into interaction devices (i.e., "interactive clothing")
- Can be attached to area of clothing such as sleeve or lapel
- On capacitive sensing, can detect and read finger motions applied on outside of clothing fabric
- Layer of sensor electrodes transforms conventional clothes into interaction devices (i.e., "interactive clothing")
- Technological background
- Capacitance sensing
- Definition:
- A technique for measuring distances of nearby conductive objects
- Measures the capacitance between the sensor and the object and uses a transmitter and a receiver electrode
- A technique for measuring distances of nearby conductive objects
- Used for measuring:
- the arm shape by placing both the transmitter and receiver electrodes on a wristband
- finger positions by attaching electrodes on the inside of clothes
- the arm shape by placing both the transmitter and receiver electrodes on a wristband
- On-body networking
- Based on capacitive sensing, a technique that transmits data through the human body
- Wearable devices can:
- communicate with each other
- automatically authenticate digital devices that are touched
- communicate with each other
- Technique used to distinguish wearer from other people while interacting with GesturePad
- Based on capacitive sensing, a technique that transmits data through the human body
- GestureWrist
- About
- A wristwatch-type input device that recognizes human hand gestures
- Capacitively measures:
- wrist-shape changes
- forearm movements
- wrist-shape changes
- Consists of:
- two input sensors (capacitance and acceleration sensors)
- one tactile feedback actuator
- two input sensors (capacitance and acceleration sensors)
- fabricated by attaching sensors and actuators to wristwatch
- embedding all sensing elements into wristwatch technically possible, so can be used in any social situation
- A wristwatch-type input device that recognizes human hand gestures
- Hand-gesture recognition
- Recognizers hand gestures by measuring changes of arm shape on inside of wristband
- Handled by combination of transmitter and receiver electrodes attached to back of watch dial and inside wristband
- When wearer opens and closes hand, wrist's cross-sectional shape changes accordingly
- System can clearly distinguish two hand shapes:
- Grasping
- Pointing
- Grasping
- Recognizers hand gestures by measuring changes of arm shape on inside of wristband
- Forearm movement measurement
- Uses solid-state 2-axis acceleration sensor
- Measures inclination of forearm
- Uses solid-state 2-axis acceleration sensor
- Tactile feedback
- When gesture is recognized, GestureWrist gives tactile feedback to user
- Actuator inside wristwatch dial provides feedback
- When gesture is recognized, GestureWrist gives tactile feedback to user
- Combining two sensor inputs
- By combining two inputs, simple gesture commands were designed
- Two hand shapes:
- Fist
- Pointing
- Fist
- Six arm positions:
- Palm up
- Palm right
- Palm left
- Palm down
- Forearm up
- Forearm down
- Palm up
- Gesture commands
- Hand shapes used to separate gesture commands into segments
- Two consecutive arm positions (e.g., palm left -> palm down) make up one input command
- Hand shapes used to separate gesture commands into segments
- By combining two inputs, simple gesture commands were designed
- GesturePad: A sensor module for interactive clothing
- About
- Trial: transform conventional clothes into interactive objects
- Previous work on interactive clothes
- Used metallic yarns woven into fabrics
- Difficult to apply to clothes that already exist
- Used metallic yarns woven into fabrics
- "Retrofit" approach
- Allows users to attach interactive modules on clothes easily
- Concentrated on making attachment as unnoticeable as possible
- Clothes are highly social media, so attaching obtrusive devices not ideal solution
- Allows users to attach interactive modules on clothes easily
- GesturePad consists of a layer of sensors that can be attached to inside of clothing
- Wearer can control module from the outside
- Part of clothing becomes interactive without changing appearance
- Wearer can control module from the outside
- Trial: transform conventional clothes into interactive objects
- Sensor configurations
- Consists of three configurations
- Can be attached to inside of clothes
- Controlled from the outside
- Can be attached to inside of clothes
- Configuration #1: Type-A
- Consists of an array of capacitive sensors
- When user's finger is close enough to sensor surface, sensor grid recognizes finger position
- E.g., when module is placed on inside of lapel, finger stroke gesture on lapel becomes computer input
- Consists of an array of capacitive sensors
- Configuration #2: Type-B
- Consists of transmitter and receiver layer separated by shield layer
- When user's finger is within proximity of GesturePad, wave signal from transmitter electrode transmitted to receiver one
- Could be put in trouser pocket and operated from outside of pocket
- One benefit is that it can prevent other people from interacting with sensor
- Consists of transmitter and receiver layer separated by shield layer
- Configuration #3: Type-B'
- Same sensor structure as Type-B
- Differs from Type-B by placement of transmitter and receiver electrodes (reversed)
- Same sensor structure as Type-B
- Interaction areas on clothing
- Several variations of GesturePad attached to different clothes parts
- Several parts could be assigned as input areas and used in combination
- For user's convenience:
- Frequently used commands assigned to easily accessible areas (e.g., lapels, sleeves)
- Rarely used commands assigned to elbows or knees
- Frequently used commands assigned to easily accessible areas (e.g., lapels, sleeves)
- Traditional devices (e.g., mice)
- Requires changing operation mode or selecting menu item before actually performing operation
- When interacting with wearable computers, this step is troublesome
- Requires changing operation mode or selecting menu item before actually performing operation
- Several parts could be assigned as input areas and used in combination
- Clothes as communication surfaces
- Another feature of GesturePad is ability to communicate with other digital devices
- Can typically be applied to control data communication between digital devices nearby
- Another feature of GesturePad is ability to communicate with other digital devices
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