traj.proto

syntax = "proto3";

message Trajectory {
  string android_version = 1;
  repeated Motion_Sample imu_data = 2;
  repeated Pdr_Sample pdr_data = 3;
  repeated Position_Sample position_data = 4;
  repeated Pressure_Sample pressure_data = 5;
  repeated Light_Sample light_data = 6;

  repeated GNSS_Sample gnss_data = 7;
  repeated WiFi_Sample wifi_data = 8;
  repeated AP_Data aps_data = 9;

  // UNIX timestamp (in milliseconds) recorded from the start of this
  // trajectory data collection event. All future
  // timestamps in sub classes are to be RELATIVE timestamps
  // (in milliseconds) to this start time.
  // E.g. 
  // start_timestamp = 1674819807315 (UTC 27 Jan 2023 in the morning)
  // relative_timestamp = 3000 (3s)
  int64 start_timestamp = 10;
  string data_identifier = 11;
  Sensor_Info accelerometer_info = 12;
  Sensor_Info gyroscope_info = 13;
  Sensor_Info rotation_vector_info = 14;
  Sensor_Info magnetometer_info = 15;
  Sensor_Info barometer_info = 16;
  Sensor_Info light_sensor_info = 17;
  
}

message Pdr_Sample {
  // milliseconds from the start_timestamp
  int64 relative_timestamp = 1;

  // Both in metres. You should implement an algorithm to estimate
  // these values. The values are always relative to your start point
  // so the first entry should always be x = 0.0, y = 0.0
  float x = 2;
  float y = 3;
}


message Motion_Sample {
    // milliseconds
    int64 relative_timestamp = 1;
    // m/s^2
    float acc_x = 2;
    float acc_y = 3;
    float acc_z = 4;

    // radians/s
    float gyr_x = 5;
    float gyr_y = 6;
    float gyr_z = 7;

    // unitless, 4 components should sum to ~1
    float rotation_vector_x = 8;
    float rotation_vector_y = 9;
    float rotation_vector_z = 10;
    float rotation_vector_w = 11;

    // Integer
    int32 step_count = 12;
  }
  
  message Position_Sample {
    int64 relative_timestamp = 1;

    // uT
    float mag_x = 2;
    float mag_y = 3;
    float mag_z = 4;
  }
  
  message Pressure_Sample {
    int64 relative_timestamp = 1;

    // mbar
    float pressure = 2;

  }
  message Light_Sample {
    int64 relative_timestamp = 1;
    // lux
    float light = 2;
  }
  message GNSS_Sample {
    int64 relative_timestamp = 1;

    // degrees (minimum 6 significant figures)
    // latitude between -90 and 90
    float latitude = 2;

    // longitude between -180 and 180
    float longitude = 3;

    //metres
    float altitude = 4;

    // metres
    float accuracy = 5;

    // m/s
    float speed = 6;

    // e.g 'gps' or 'network'
    string provider = 7;
  }
    
  message WiFi_Sample {
    int64 relative_timestamp = 1;
    repeated Mac_Scan mac_scans = 2;

  }

  message Mac_Scan {
    int64 relative_timestamp = 1;

    // Integer encoding of the hex mac address
    // e.g. 207394925843984
    int64 mac = 2;

    // rssi integer in dBm. 
    // typically between -120 and -10
    int32 rssi = 3;
  }

  message AP_Data {
    // Integer encoding of the hex mac address
    // e.g. 207394925843984
    int64 mac = 1;

    // E.g. 'Eduroam' or 'Starbucks_free_wifi'
    string ssid = 2;

    // Typically 2.4GHz or 5GHz
    int64 frequency = 3;
  }

  message Sensor_Info {
    string name = 1;
    string vendor = 2;
    float resolution = 3;
    float power = 4;
    int32 version = 5;
    int32 type = 6;
  }